---------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  /Users/amtaylor/Documents/amt/Current/Toni2004/REStatReplicationFiles/WashConRep
> licate.log
  log type:  text
 opened on:  10 Jan 2014, 15:59:10

. set mem 500m
set memory ignored.
    Memory no longer needs to be set in modern Statas; memory adjustments are performed on
    the fly automatically.

. set more off

. 
. insheet using pwt62.csv
(27 vars, 10340 obs)

. replace isocode = "DEU" if isocode == "GER"
(55 real changes made)

. 
. keep rgdpch isocode year 

. gen ly = log(rgdpch)
(3006 missing values generated)

. gen keeper = 0

. replace keeper = 1 if year ==1960
(188 real changes made)

. replace keeper = 1 if year ==1965
(188 real changes made)

. replace keeper = 1 if year ==1970
(188 real changes made)

. replace keeper = 1 if year ==1975
(188 real changes made)

. replace keeper = 1 if year ==1985
(188 real changes made)

. replace keeper = 1 if year ==1980
(188 real changes made)

. replace keeper = 1 if year ==1990
(188 real changes made)

. replace keeper = 1 if year ==1995
(188 real changes made)

. replace keeper = 1 if year ==2000
(188 real changes made)

. drop if keeper == 0
(8648 observations deleted)

. drop rgdpch keeper

. sort isocode year

. save temp, replace
(note: file temp.dta not found)
file temp.dta saved

. clear

. 
. * get barro lee schooling
. use BLyears25.dta

. gen keeper = 0

. replace keeper = 1 if year ==1970
(138 real changes made)

. replace keeper = 1 if year ==1975
(138 real changes made)

. replace keeper = 1 if year ==1980
(138 real changes made)

. replace keeper = 1 if year ==1985
(138 real changes made)

. replace keeper = 1 if year ==1990
(138 real changes made)

. replace keeper = 1 if year ==1995
(138 real changes made)

. replace keeper = 1 if year ==1999
(138 real changes made)

. keep if keeper == 1
(276 observations deleted)

. sort isocode year

. merge isocode year using temp.dta 
(note: you are using old merge syntax; see [D] merge for new syntax)

. tab _merge

     _merge |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |        162        8.74        8.74
          2 |        888       47.90       56.63
          3 |        804       43.37      100.00
------------+-----------------------------------
      Total |      1,854      100.00

. drop _merge

. sort isocode year

. 
. * reshape
. rename tyr school

. keep isocode year ly school 

. reshape wide ly  school, i(isocode) j(year)
(note: j = 1960 1965 1970 1975 1980 1985 1990 1995 1999 2000)

Data                               long   ->   wide
-----------------------------------------------------------------------------
Number of obs.                     1854   ->     192
Number of variables                   4   ->      21
j variable (10 values)             year   ->   (dropped)
xij variables:
                                     ly   ->   ly1960 ly1965 ... ly2000
                                 school   ->   school1960 school1965 ... school2000
-----------------------------------------------------------------------------

. sort isocode

. save temp, replace
file temp.dta saved

. clear

. 
. * get tariffs
. insheet using TariffsEarlyLateRev2.txt
(6 vars, 98 obs)

. rename yr year

. sort isocode year

. replace year = 1 if year<1995
(49 real changes made)

. replace year = 2 if year>1995
(49 real changes made)

. reshape wide tcap tcon tint     tnes, i(isocode) j(year)
(note: j = 1 2)

Data                               long   ->   wide
-----------------------------------------------------------------------------
Number of obs.                       98   ->      49
Number of variables                   6   ->       9
j variable (2 values)              year   ->   (dropped)
xij variables:
                                   tcap   ->   tcap1 tcap2
                                   tcon   ->   tcon1 tcon2
                                   tint   ->   tint1 tint2
                                   tnes   ->   tnes1 tnes2
-----------------------------------------------------------------------------

. sort isocode

. merge isocode using temp.dta 
(note: you are using old merge syntax; see [D] merge for new syntax)

. tab _merge

     _merge |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          1        0.52        0.52
          2 |        144       74.61       75.13
          3 |         48       24.87      100.00
------------+-----------------------------------
      Total |        193      100.00

. drop _merge

. sort isocode

. save temp, replace
file temp.dta saved

. clear

. 
. use Edwards.dta

. gen str3 isocode = ccode
(13 missing values generated)

. drop ccode

. list var1 if isocode==""

     +-----------+
     |      var1 |
     |-----------|
 24. |  Yugoslav |
 63. |           |
 88. |     Libya |
112. |   Estonia |
113. |    Latvia |
     |-----------|
114. |   Hungary |
115. |   hungary |
116. | Lithuania |
117. |  Mongolia |
118. |   Croatia |
     |-----------|
119. |  Slovenia |
120. |    Poland |
121. |   Romania |
     +-----------+

. drop if isocode==""
(13 observations deleted)

. sort isocode

. merge isocode using temp.dta 
(note: you are using old merge syntax; see [D] merge for new syntax)

. tab _merge

     _merge |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          1        0.52        0.52
          2 |         85       43.81       44.33
          3 |        108       55.67      100.00
------------+-----------------------------------
      Total |        194      100.00

. drop _merge

. sort isocode

. merge isocode using wdidata.dta
(note: you are using old merge syntax; see [D] merge for new syntax)

. tab _merge

     _merge |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          6        2.80        2.80
          2 |         20        9.35       12.15
          3 |        188       87.85      100.00
------------+-----------------------------------
      Total |        214      100.00

. drop _merge

. save temp, replace
file temp.dta saved

. 
. * use wdi data for growth
. gen growth1 = (log(gdppc1990)-log(gdppc1975))/15
(96 missing values generated)

. gen growth2 = (log(gdppc2004)-log(gdppc1990))/14
(64 missing values generated)

. gen dgrowth = growth2 - growth1
(105 missing values generated)

. 
. gen ltcon1 = log(1+tcon1/100)
(165 missing values generated)

. gen ltcon2 = log(1+tcon2/100)
(165 missing values generated)

. 
. gen ltk1 = log(1+tcap1/100)
(165 missing values generated)

. gen ltk2 = log(1+tcap2/100)
(165 missing values generated)

. 
. gen lti1 = log(1+tint1/100)
(165 missing values generated)

. gen lti2 = log(1+tint2/100)
(165 missing values generated)

. 
. gen ltki1 = log(1+0.5*tcap1/100+0.5*tint1/100)
(165 missing values generated)

. gen ltki2 = log(1+0.5*tcap2/100+0.5*tint2/100)
(165 missing values generated)

. 
. gen dltcon = ltcon2 - ltcon1
(165 missing values generated)

. 
. gen dltc = ltcon2 - ltcon1
(165 missing values generated)

. gen dltk = ltk2 - ltk1
(165 missing values generated)

. gen dlti = lti2 - lti1
(165 missing values generated)

. gen dltki = ltki2 - ltki1
(165 missing values generated)

. 
. 
. 
. *gen lz1 = ltcap1 - ltcon1
. *gen lz2 = ltcap2 - ltcon2
. *gen dlz = lz2 - lz1
. 
. gen school1 = school1975
(108 missing values generated)

. gen school2 = school1990
(107 missing values generated)

. gen dschool = school2 - school1
(109 missing values generated)

. 
. sort isocode

. save temp, replace
file temp.dta saved

. 
. * get efw data
. 
. clear

. 
. *use efw2001.dta
. *rename areav inst
. *rename viaidata tariff
. 
. use efwdata2005.dta

. rename area2ab inst

. rename area4aiidata  tariff

. 
. keep year isocode inst tariff

. reshape wide inst tariff, i(isocode) j(year)
(note: j = 1970 1975 1980 1985 1990 1995 2000)

Data                               long   ->   wide
-----------------------------------------------------------------------------
Number of obs.                      861   ->     123
Number of variables                   4   ->      15
j variable (7 values)              year   ->   (dropped)
xij variables:
                                   inst   ->   inst1970 inst1975 ... inst2000
                                 tariff   ->   tariff1970 tariff1975 ... tariff2000
-----------------------------------------------------------------------------

. gen inst1 = inst1985/10
(13 missing values generated)

. gen inst2 = inst2000/10

. gen dinst = inst2 - inst1
(13 missing values generated)

. 
. gen tariff1 = tariff1985/100
(29 missing values generated)

. gen tariff2 = tariff2000/100
(12 missing values generated)

. gen dtariff = tariff2 - tariff1
(38 missing values generated)

. gen ltar1 = log(1+tariff1)
(29 missing values generated)

. gen ltar2 = log(1+tariff2)
(12 missing values generated)

. gen dltar = ltar2 - ltar1
(38 missing values generated)

. 
. keep isocode inst1 inst2 dinst tariff1 tariff2 dtariff ltar1 ltar2 dltar

. sort isocode

. merge isocode using temp.dta
(note: you are using old merge syntax; see [D] merge for new syntax)

. tab _merge

     _merge |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          2        0.93        0.93
          2 |         93       43.06       43.98
          3 |        121       56.02      100.00
------------+-----------------------------------
      Total |        216      100.00

. drop _merge

. sort isocode

. erase temp.dta

. 
. * define developing
. gen developing = 0

. replace developing = 1 if imfcode>=199
(191 real changes made)

. replace developing = 1 if imfcode==186
(1 real change made)

. 
. * define cap importers
. gen capimp = .
(216 missing values generated)

. * based on 1987 data
. replace capimp=1 if isocode=="ARG"
(1 real change made)

. replace capimp=1 if isocode=="AUS"
(1 real change made)

. replace capimp=1 if isocode=="BLX"
(1 real change made)

. replace capimp=1 if isocode=="BOL"
(1 real change made)

. replace capimp=1 if isocode=="BRA"
(1 real change made)

. replace capimp=1 if isocode=="CAN"
(1 real change made)

. replace capimp=1 if isocode=="CHL"
(1 real change made)

. replace capimp=1 if isocode=="CHN"
(1 real change made)

. replace capimp=1 if isocode=="COL"
(1 real change made)

. replace capimp=0 if isocode=="DEU"
(1 real change made)

. replace capimp=1 if isocode=="DNK"
(1 real change made)

. replace capimp=1 if isocode=="ECU"
(1 real change made)

. replace capimp=1 if isocode=="ESP"
(1 real change made)

. replace capimp=1 if isocode=="FRA"
(1 real change made)

. replace capimp=0 if isocode=="GBR"
(1 real change made)

. replace capimp=1 if isocode=="HKG"
(1 real change made)

. replace capimp=1 if isocode=="IDN"
(1 real change made)

. replace capimp=1 if isocode=="IND"
(1 real change made)

. replace capimp=0 if isocode=="ITA"
(1 real change made)

. replace capimp=0 if isocode=="JPN"
(1 real change made)

. replace capimp=1 if isocode=="KOR"
(1 real change made)

. replace capimp=1 if isocode=="MEX"
(1 real change made)

. replace capimp=1 if isocode=="MYS"
(1 real change made)

. replace capimp=1 if isocode=="NLD"
(1 real change made)

. replace capimp=1 if isocode=="NZL"
(1 real change made)

. replace capimp=1 if isocode=="PAK"
(1 real change made)

. replace capimp=1 if isocode=="PER"
(1 real change made)

. replace capimp=1 if isocode=="PHL"
(1 real change made)

. replace capimp=1 if isocode=="PRY"
(1 real change made)

. replace capimp=1 if isocode=="SGP"
(1 real change made)

. replace capimp=0 if isocode=="SWE"
(1 real change made)

. replace capimp=1 if isocode=="THA"
(1 real change made)

. replace capimp=1 if isocode=="TUR"
(1 real change made)

. replace capimp=0 if isocode=="TWN"
(1 real change made)

. replace capimp=1 if isocode=="URY"
(1 real change made)

. replace capimp=1 if isocode=="USA"
(1 real change made)

. replace capimp=1 if isocode=="VEN"
(1 real change made)

. replace capimp=1 if isocode=="AUT"
(1 real change made)

. replace capimp=1 if isocode=="BGD"
(1 real change made)

. replace capimp=1 if isocode=="CIV"
(1 real change made)

. replace capimp=1 if isocode=="DZA"
(1 real change made)

. replace capimp=1 if isocode=="FIN"
(1 real change made)

. replace capimp=1 if isocode=="GHA"
(1 real change made)

. replace capimp=1 if isocode=="ISL"
(1 real change made)

. replace capimp=1 if isocode=="ISR"
(1 real change made)

. replace capimp=1 if isocode=="LKA"
(1 real change made)

. replace capimp=1 if isocode=="MAR"
(1 real change made)

. replace capimp=1 if isocode=="NPL"
(1 real change made)

. replace capimp=1 if isocode=="TTO"
(1 real change made)

. 
. *nb 1987 data is na for 
. *CIV    86
. *GHA    85
. *NPL    86
. 
. * define notg7
. gen g7 = 0

. replace g7 = 1 if isocode=="USA"
(1 real change made)

. replace g7 = 1 if isocode=="GBR"
(1 real change made)

. replace g7 = 1 if isocode=="FRA"
(1 real change made)

. replace g7 = 1 if isocode=="ITA"
(1 real change made)

. replace g7 = 1 if isocode=="CAN"
(1 real change made)

. replace g7 = 1 if isocode=="DEU"
(1 real change made)

. replace g7 = 1 if isocode=="JPN"
(1 real change made)

. gen notg7 = 1 - g7

. 
. * define lib
. 
. egen dltarmed1 = median(dltar)

. egen dltarmed2 = median(dltar) if developing
(24 missing values generated)

. 
. gen lib1 = 0 if dltar~=.
(131 missing values generated)

. replace lib1 = 1 if dltar < dltarmed1 & dltar~=.
(42 real changes made)

. replace lib1 = . if dltar==.
(0 real changes made)

. gen lib2 = 0 if dltar~=.
(131 missing values generated)

. replace lib2 = 1 if dltar < dltarmed2 & dltar~=. & developing
(31 real changes made)

. 
. egen dltcmed = median(dltc)

. egen dltkmed = median(dltk)

. egen dltimed = median(dlti)

. egen dltkimed = median(dltki)

. 
. gen libc = 0 if dltc~=.
(167 missing values generated)

. replace libc = 1 if dltc < dltcmed & dltc~=.
(24 real changes made)

. replace libc = . if dltc==.
(0 real changes made)

. 
. gen libk = 0 if dltk~=.
(167 missing values generated)

. replace libk = 1 if dltk < dltkmed & dltk~=.
(24 real changes made)

. replace libk = . if dltk==.
(0 real changes made)

. 
. gen libi = 0 if dlti~=.
(167 missing values generated)

. replace libi = 1 if dlti < dltimed & dlti~=.
(24 real changes made)

. replace libi = . if dlti==.
(0 real changes made)

. 
. gen libki = 0 if dltki~=.
(167 missing values generated)

. replace libki = 1 if dltki < dltkimed & dltki~=.
(24 real changes made)

. replace libki = . if dltki==.
(0 real changes made)

. 
. 
. ****************************************************************
. * start results
. ****************************************************************
. 
. *** TABLE 1
. 
. * discrete lib
. 
. * avg tar 
. reg dgrowth lib1 growth1 dschool dinst

      Source |       SS       df       MS              Number of obs =      70
-------------+------------------------------           F(  4,    65) =   21.96
       Model |   .01732371     4  .004330927           Prob > F      =  0.0000
    Residual |  .012817718    65  .000197196           R-squared     =  0.5747
-------------+------------------------------           Adj R-squared =  0.5486
       Total |  .030141428    69  .000436832           Root MSE      =  .01404

------------------------------------------------------------------------------
     dgrowth |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        lib1 |   .0071723   .0036647     1.96   0.055    -.0001466    .0144911
     growth1 |  -.5735975   .0787303    -7.29   0.000    -.7308328   -.4163622
     dschool |  -.0003456   .0027242    -0.13   0.899    -.0057863     .005095
       dinst |    .027076   .0142286     1.90   0.061    -.0013404    .0554925
       _cons |    .004408   .0050725     0.87   0.388    -.0057225    .0145385
------------------------------------------------------------------------------

. eststo
(est1 stored)

. 
. * c tar 
. reg dgrowth libc growth1 dschool dinst

      Source |       SS       df       MS              Number of obs =      44
-------------+------------------------------           F(  4,    39) =   10.71
       Model |  .005902496     4  .001475624           Prob > F      =  0.0000
    Residual |  .005375812    39  .000137841           R-squared     =  0.5233
-------------+------------------------------           Adj R-squared =  0.4745
       Total |  .011278308    43  .000262286           Root MSE      =  .01174

------------------------------------------------------------------------------
     dgrowth |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        libc |   .0084232   .0038117     2.21   0.033     .0007133    .0161331
     growth1 |  -.5316519    .094038    -5.65   0.000    -.7218618   -.3414421
     dschool |   .0014924    .003003     0.50   0.622    -.0045818    .0075665
       dinst |   .0211806   .0178861     1.18   0.244    -.0149975    .0573587
       _cons |   .0023794   .0057859     0.41   0.683    -.0093237    .0140825
------------------------------------------------------------------------------

. eststo
(est2 stored)

. 
. * k tar 
. reg dgrowth libk growth1 dschool dinst

      Source |       SS       df       MS              Number of obs =      44
-------------+------------------------------           F(  4,    39) =   10.97
       Model |  .005971057     4  .001492764           Prob > F      =  0.0000
    Residual |  .005307252    39  .000136083           R-squared     =  0.5294
-------------+------------------------------           Adj R-squared =  0.4812
       Total |  .011278308    43  .000262286           Root MSE      =  .01167

------------------------------------------------------------------------------
     dgrowth |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        libk |   .0086236   .0036939     2.33   0.025      .001152    .0160952
     growth1 |  -.5181096   .0941927    -5.50   0.000    -.7086324   -.3275868
     dschool |   .0012875   .0029799     0.43   0.668    -.0047399    .0073149
       dinst |   .0178165   .0172221     1.03   0.307    -.0170184    .0526514
       _cons |   .0027167   .0056103     0.48   0.631    -.0086312    .0140646
------------------------------------------------------------------------------

. eststo
(est3 stored)

. 
. * i tar 
. reg dgrowth libi growth1 dschool dinst

      Source |       SS       df       MS              Number of obs =      44
-------------+------------------------------           F(  4,    39) =   11.33
       Model |  .006062119     4   .00151553           Prob > F      =  0.0000
    Residual |  .005216189    39  .000133748           R-squared     =  0.5375
-------------+------------------------------           Adj R-squared =  0.4901
       Total |  .011278308    43  .000262286           Root MSE      =  .01156

------------------------------------------------------------------------------
     dgrowth |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        libi |   .0089813   .0035994     2.50   0.017     .0017009    .0162618
     growth1 |  -.5471308   .0920771    -5.94   0.000    -.7333744   -.3608873
     dschool |   .0011036   .0029533     0.37   0.711    -.0048702    .0070773
       dinst |   .0171447   .0169388     1.01   0.318    -.0171173    .0514067
       _cons |    .003279   .0053966     0.61   0.547    -.0076365    .0141946
------------------------------------------------------------------------------

. eststo
(est4 stored)

. 
. * ki tar 
. reg dgrowth libki growth1 dschool dinst

      Source |       SS       df       MS              Number of obs =      44
-------------+------------------------------           F(  4,    39) =   11.65
       Model |  .006138686     4  .001534672           Prob > F      =  0.0000
    Residual |  .005139622    39  .000131785           R-squared     =  0.5443
-------------+------------------------------           Adj R-squared =  0.4976
       Total |  .011278308    43  .000262286           Root MSE      =  .01148

------------------------------------------------------------------------------
     dgrowth |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       libki |    .009515   .0036223     2.63   0.012     .0021882    .0168418
     growth1 |  -.5220563   .0922247    -5.66   0.000    -.7085984   -.3355141
     dschool |   .0014853   .0029349     0.51   0.616    -.0044512    .0074218
       dinst |   .0188403   .0169337     1.11   0.273    -.0154113     .053092
       _cons |   .0017812   .0055709     0.32   0.751     -.009487    .0130494
------------------------------------------------------------------------------

. eststo
(est5 stored)

. 
. esttab using Table1a.csv,  r2 cells(b se) replace order(lib1 libc libk libi libki) drop(_co
> ns)
(output written to Table1a.csv)

. eststo clear

. 
. 
. 
. * avg tar 
. reg dgrowth lib1 growth1 

      Source |       SS       df       MS              Number of obs =      75
-------------+------------------------------           F(  2,    72) =   37.92
       Model |  .016178816     2  .008089408           Prob > F      =  0.0000
    Residual |  .015360879    72  .000213346           R-squared     =  0.5130
-------------+------------------------------           Adj R-squared =  0.4994
       Total |  .031539695    74  .000426212           Root MSE      =  .01461

------------------------------------------------------------------------------
     dgrowth |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        lib1 |   .0037315   .0035146     1.06   0.292    -.0032747    .0107378
     growth1 |  -.5859869   .0730315    -8.02   0.000    -.7315726   -.4404013
       _cons |    .008377   .0030026     2.79   0.007     .0023914    .0143627
------------------------------------------------------------------------------

. eststo
(est1 stored)

. 
. * c tar 
. reg dgrowth libc growth1 

      Source |       SS       df       MS              Number of obs =      47
-------------+------------------------------           F(  2,    44) =   19.19
       Model |  .005376898     2  .002688449           Prob > F      =  0.0000
    Residual |  .006164828    44   .00014011           R-squared     =  0.4659
-------------+------------------------------           Adj R-squared =  0.4416
       Total |  .011541726    46  .000250907           Root MSE      =  .01184

------------------------------------------------------------------------------
     dgrowth |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        libc |   .0079172   .0034571     2.29   0.027     .0009499    .0148845
     growth1 |  -.4963423   .0878061    -5.65   0.000    -.6733038   -.3193808
       _cons |   .0051049   .0030834     1.66   0.105    -.0011093    .0113191
------------------------------------------------------------------------------

. eststo
(est2 stored)

. 
. * k tar 
. reg dgrowth libk growth1 

      Source |       SS       df       MS              Number of obs =      47
-------------+------------------------------           F(  2,    44) =   18.94
       Model |  .005339097     2  .002669549           Prob > F      =  0.0000
    Residual |  .006202629    44  .000140969           R-squared     =  0.4626
-------------+------------------------------           Adj R-squared =  0.4382
       Total |  .011541726    46  .000250907           Root MSE      =  .01187

------------------------------------------------------------------------------
     dgrowth |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        libk |   .0077406    .003481     2.22   0.031      .000725    .0147561
     growth1 |  -.4858112    .088414    -5.49   0.000     -.663998   -.3076245
       _cons |   .0049703   .0031561     1.57   0.122    -.0013905    .0113311
------------------------------------------------------------------------------

. eststo
(est3 stored)

. 
. * i tar 
. reg dgrowth libi growth1 

      Source |       SS       df       MS              Number of obs =      47
-------------+------------------------------           F(  2,    44) =   20.79
       Model |   .00560775     2  .002803875           Prob > F      =  0.0000
    Residual |  .005933976    44  .000134863           R-squared     =  0.4859
-------------+------------------------------           Adj R-squared =  0.4625
       Total |  .011541726    46  .000250907           Root MSE      =  .01161

------------------------------------------------------------------------------
     dgrowth |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        libi |   .0090717   .0033901     2.68   0.010     .0022393    .0159041
     growth1 |  -.5118004   .0861055    -5.94   0.000    -.6853345   -.3382662
       _cons |   .0048644   .0029513     1.65   0.106    -.0010836    .0108125
------------------------------------------------------------------------------

. eststo
(est4 stored)

. 
. * ki tar 
. reg dgrowth libki growth1 

      Source |       SS       df       MS              Number of obs =      47
-------------+------------------------------           F(  2,    44) =   21.39
       Model |  .005689451     2  .002844725           Prob > F      =  0.0000
    Residual |  .005852275    44  .000133006           R-squared     =  0.4929
-------------+------------------------------           Adj R-squared =  0.4699
       Total |  .011541726    46  .000250907           Root MSE      =  .01153

------------------------------------------------------------------------------
     dgrowth |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       libki |   .0094711   .0033751     2.81   0.007     .0026691    .0162731
     growth1 |  -.4866055   .0857224    -5.68   0.000    -.6593678   -.3138433
       _cons |   .0041401   .0030412     1.36   0.180    -.0019891    .0102693
------------------------------------------------------------------------------

. 
. eststo
(est5 stored)

. 
. esttab using Table1b.csv, r2 cells(b se)  replace order(lib1 libc libk libi libki) drop(_co
> ns)
(output written to Table1b.csv)

. eststo clear

. 
. 
. *** TABLE 2
. 
. * NB wdi drops out / use pwt for 60-75 growth and placebo falsification test
. gen growth0p = (ly1975-ly1960)/15
(118 missing values generated)

. gen growth1p = (ly1990-ly1975)/15
(62 missing values generated)

. gen dgrowthp = growth1p - growth0p
(118 missing values generated)

. 
. 
. * placebo
. **** Falsification exercise with identical "placebo" treatment imposed at 1975 breakpoint
. 
. * growth model, lag y only - OLS
. 
. * avg tar 
. reg dgrowthp lib1 growth0

      Source |       SS       df       MS              Number of obs =      71
-------------+------------------------------           F(  2,    68) =   16.04
       Model |  .014731935     2  .007365968           Prob > F      =  0.0000
    Residual |  .031224572    68  .000459185           R-squared     =  0.3206
-------------+------------------------------           Adj R-squared =  0.3006
       Total |  .045956507    70  .000656522           Root MSE      =  .02143

------------------------------------------------------------------------------
    dgrowthp |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        lib1 |  -.0091875   .0052616    -1.75   0.085    -.0196867    .0013118
    growth0p |  -.8122404   .1439471    -5.64   0.000    -1.099482   -.5249984
       _cons |   .0149809   .0062037     2.41   0.018     .0026016    .0273601
------------------------------------------------------------------------------

. eststo
(est1 stored)

. 
. * con 
. reg dgrowthp libc growth0

      Source |       SS       df       MS              Number of obs =      46
-------------+------------------------------           F(  2,    43) =    3.96
       Model |  .003202087     2  .001601044           Prob > F      =  0.0263
    Residual |  .017368064    43  .000403908           R-squared     =  0.1557
-------------+------------------------------           Adj R-squared =  0.1164
       Total |  .020570151    45  .000457114           Root MSE      =   .0201

------------------------------------------------------------------------------
    dgrowthp |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        libc |    .001774       .006     0.30   0.769    -.0103261    .0138742
    growth0p |  -.4918132   .1808428    -2.72   0.009    -.8565174   -.1271091
       _cons |   .0037447    .007814     0.48   0.634    -.0120136    .0195031
------------------------------------------------------------------------------

. eststo
(est2 stored)

. 
. * cap 
. reg dgrowthp libk growth0

      Source |       SS       df       MS              Number of obs =      46
-------------+------------------------------           F(  2,    43) =    3.96
       Model |  .003201848     2  .001600924           Prob > F      =  0.0263
    Residual |  .017368303    43  .000403914           R-squared     =  0.1557
-------------+------------------------------           Adj R-squared =  0.1164
       Total |  .020570151    45  .000457114           Root MSE      =   .0201

------------------------------------------------------------------------------
    dgrowthp |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        libk |  -.0017615   .0059779    -0.29   0.770    -.0138171    .0102941
    growth0p |  -.5071124   .1801774    -2.81   0.007    -.8704746   -.1437501
       _cons |   .0060308   .0077301     0.78   0.440    -.0095584      .02162
------------------------------------------------------------------------------

. eststo
(est3 stored)

. 
. * int 
. reg dgrowthp libi growth0

      Source |       SS       df       MS              Number of obs =      46
-------------+------------------------------           F(  2,    43) =    4.02
       Model |  .003238876     2  .001619438           Prob > F      =  0.0251
    Residual |  .017331276    43  .000403053           R-squared     =  0.1575
-------------+------------------------------           Adj R-squared =  0.1183
       Total |  .020570151    45  .000457114           Root MSE      =  .02008

------------------------------------------------------------------------------
    dgrowthp |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        libi |   .0025091   .0059325     0.42   0.674    -.0094548     .014473
    growth0p |  -.4952915    .178807    -2.77   0.008    -.8558901   -.1346928
       _cons |    .003495   .0075215     0.46   0.645    -.0116734    .0186635
------------------------------------------------------------------------------

. eststo
(est4 stored)

. 
. * cap int 
. reg dgrowthp  libki growth0

      Source |       SS       df       MS              Number of obs =      46
-------------+------------------------------           F(  2,    43) =    3.91
       Model |  .003166857     2  .001583429           Prob > F      =  0.0275
    Residual |  .017403294    43  .000404728           R-squared     =  0.1540
-------------+------------------------------           Adj R-squared =  0.1146
       Total |  .020570151    45  .000457114           Root MSE      =  .02012

------------------------------------------------------------------------------
    dgrowthp |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       libki |   .0000845   .0060032     0.01   0.989     -.012022     .012191
    growth0p |  -.4997714   .1809378    -2.76   0.008    -.8646674   -.1348755
       _cons |   .0048591   .0078114     0.62   0.537     -.010894    .0206122
------------------------------------------------------------------------------

. eststo
(est5 stored)

. 
. esttab using Table2.csv, r2 cells(b se)  replace order(lib1 libc libk libi libki) drop(_con
> s)
(output written to Table2.csv)

. eststo clear

. 
. 
. *** TABLE 3
. 
. *** TABLE 1
. 
. * cts lib
. 
. 
. 
. * avg tar 
. reg dgrowth dltar growth1 dschool dinst

      Source |       SS       df       MS              Number of obs =      70
-------------+------------------------------           F(  4,    65) =   21.72
       Model |  .017240353     4  .004310088           Prob > F      =  0.0000
    Residual |  .012901075    65  .000198478           R-squared     =  0.5720
-------------+------------------------------           Adj R-squared =  0.5456
       Total |  .030141428    69  .000436832           Root MSE      =  .01409

------------------------------------------------------------------------------
     dgrowth |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       dltar |  -.0270082   .0146782    -1.84   0.070    -.0563227    .0023062
     growth1 |  -.5763957    .078916    -7.30   0.000    -.7340018   -.4187896
     dschool |  -.0002987   .0027337    -0.11   0.913    -.0057584    .0051609
       dinst |   .0233988   .0138161     1.69   0.095    -.0041938    .0509915
       _cons |   .0055102   .0048652     1.13   0.262    -.0042062    .0152265
------------------------------------------------------------------------------

. eststo
(est1 stored)

. 
. * c tar 
. reg dgrowth dltc growth1 dschool dinst

      Source |       SS       df       MS              Number of obs =      44
-------------+------------------------------           F(  4,    39) =    9.89
       Model |  .005679448     4  .001419862           Prob > F      =  0.0000
    Residual |   .00559886    39  .000143561           R-squared     =  0.5036
-------------+------------------------------           Adj R-squared =  0.4527
       Total |  .011278308    43  .000262286           Root MSE      =  .01198

------------------------------------------------------------------------------
     dgrowth |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        dltc |  -.0199314   .0112568    -1.77   0.084    -.0427003    .0028376
     growth1 |  -.5408426   .0956933    -5.65   0.000    -.7344006   -.3472845
     dschool |   .0017937   .0030835     0.58   0.564    -.0044433    .0080306
       dinst |   .0179861   .0181335     0.99   0.327    -.0186923    .0546645
       _cons |   .0037466   .0058532     0.64   0.526    -.0080926    .0155858
------------------------------------------------------------------------------

. eststo
(est2 stored)

. 
. * k tar 
. reg dgrowth dltk growth1 dschool dinst

      Source |       SS       df       MS              Number of obs =      44
-------------+------------------------------           F(  4,    39) =   10.27
       Model |  .005786937     4  .001446734           Prob > F      =  0.0000
    Residual |  .005491371    39  .000140804           R-squared     =  0.5131
-------------+------------------------------           Adj R-squared =  0.4632
       Total |  .011278308    43  .000262286           Root MSE      =  .01187

------------------------------------------------------------------------------
     dgrowth |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        dltk |   -.037849   .0190202    -1.99   0.054     -.076321    .0006231
     growth1 |  -.5244924   .0956953    -5.48   0.000    -.7180546   -.3309303
     dschool |   .0009422   .0030315     0.31   0.758    -.0051896    .0070741
       dinst |    .012305   .0170806     0.72   0.476    -.0222438    .0468538
       _cons |   .0041443   .0055695     0.74   0.461    -.0071211    .0154097
------------------------------------------------------------------------------

. eststo
(est3 stored)

. 
. * i tar 
. reg dgrowth dlti growth1 dschool dinst

      Source |       SS       df       MS              Number of obs =      44
-------------+------------------------------           F(  4,    39) =   10.27
       Model |  .005785855     4  .001446464           Prob > F      =  0.0000
    Residual |  .005492453    39  .000140832           R-squared     =  0.5130
-------------+------------------------------           Adj R-squared =  0.4631
       Total |  .011278308    43  .000262286           Root MSE      =  .01187

------------------------------------------------------------------------------
     dgrowth |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        dlti |  -.0285294   .0143522    -1.99   0.054    -.0575596    .0005007
     growth1 |   -.541069   .0947021    -5.71   0.000    -.7326221   -.3495159
     dschool |   .0005909   .0030421     0.19   0.847    -.0055624    .0067441
       dinst |   .0120214   .0170609     0.70   0.485    -.0224875    .0465303
       _cons |   .0055494   .0053072     1.05   0.302    -.0051855    .0162843
------------------------------------------------------------------------------

. eststo
(est4 stored)

. 
. * ki tar 
. reg dgrowth dltki growth1 dschool dinst

      Source |       SS       df       MS              Number of obs =      44
-------------+------------------------------           F(  4,    39) =   10.33
       Model |  .005803171     4  .001450793           Prob > F      =  0.0000
    Residual |  .005475137    39  .000140388           R-squared     =  0.5145
-------------+------------------------------           Adj R-squared =  0.4648
       Total |  .011278308    43  .000262286           Root MSE      =  .01185

------------------------------------------------------------------------------
     dgrowth |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       dltki |  -.0333152    .016479    -2.02   0.050     -.066647    .0000166
     growth1 |  -.5336483   .0948937    -5.62   0.000     -.725589   -.3417077
     dschool |   .0007221   .0030321     0.24   0.813    -.0054108    .0068551
       dinst |    .012261    .017046     0.72   0.476    -.0222179    .0467398
       _cons |   .0048579   .0054072     0.90   0.374    -.0060793     .015795
------------------------------------------------------------------------------

. eststo
(est5 stored)

. 
. esttab using Table3a.csv, r2 cells(b se)  replace order(dltar dltc dltk dlti dltki) drop(_c
> ons)
(output written to Table3a.csv)

. eststo clear

. 
. 
. 
. * avg tar 
. reg dgrowth dltar growth1 

      Source |       SS       df       MS              Number of obs =      75
-------------+------------------------------           F(  2,    72) =   39.26
       Model |  .016453586     2  .008226793           Prob > F      =  0.0000
    Residual |  .015086108    72  .000209529           R-squared     =  0.5217
-------------+------------------------------           Adj R-squared =  0.5084
       Total |  .031539695    74  .000426212           Root MSE      =  .01448

------------------------------------------------------------------------------
     dgrowth |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       dltar |  -.0225821   .0144003    -1.57   0.121    -.0512886    .0061244
     growth1 |  -.5785893   .0719667    -8.04   0.000    -.7220523   -.4351263
       _cons |    .007831   .0027341     2.86   0.005     .0023807    .0132814
------------------------------------------------------------------------------

. eststo
(est1 stored)

. 
. * c tar 
. reg dgrowth dltc growth1 

      Source |       SS       df       MS              Number of obs =      47
-------------+------------------------------           F(  2,    44) =   18.51
       Model |  .005274039     2  .002637019           Prob > F      =  0.0000
    Residual |  .006267687    44  .000142447           R-squared     =  0.4570
-------------+------------------------------           Adj R-squared =  0.4323
       Total |  .011541726    46  .000250907           Root MSE      =  .01194

------------------------------------------------------------------------------
     dgrowth |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        dltc |   -.021045   .0099914    -2.11   0.041    -.0411813   -.0009086
     growth1 |  -.5011427   .0884729    -5.66   0.000    -.6794481   -.3228374
       _cons |    .006142   .0029209     2.10   0.041     .0002554    .0120286
------------------------------------------------------------------------------

. eststo
(est2 stored)

. 
. * k tar 
. reg dgrowth dltk growth1 

      Source |       SS       df       MS              Number of obs =      47
-------------+------------------------------           F(  2,    44) =   19.54
       Model |  .005428863     2  .002714431           Prob > F      =  0.0000
    Residual |  .006112863    44  .000138929           R-squared     =  0.4704
-------------+------------------------------           Adj R-squared =  0.4463
       Total |  .011541726    46  .000250907           Root MSE      =  .01179

------------------------------------------------------------------------------
     dgrowth |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        dltk |  -.0429799   .0180605    -2.38   0.022    -.0793785   -.0065814
     growth1 |  -.4870831   .0876771    -5.56   0.000    -.6637846   -.3103815
       _cons |   .0045319   .0031781     1.43   0.161    -.0018732     .010937
------------------------------------------------------------------------------

. eststo
(est3 stored)

. 
. * i tar 
. reg dgrowth dlti growth1 

      Source |       SS       df       MS              Number of obs =      47
-------------+------------------------------           F(  2,    44) =   19.84
       Model |  .005472419     2  .002736209           Prob > F      =  0.0000
    Residual |  .006069307    44  .000137939           R-squared     =  0.4741
-------------+------------------------------           Adj R-squared =  0.4502
       Total |  .011541726    46  .000250907           Root MSE      =  .01174

------------------------------------------------------------------------------
     dgrowth |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        dlti |  -.0324916   .0132429    -2.45   0.018    -.0591808   -.0058023
     growth1 |  -.5073143   .0870486    -5.83   0.000    -.6827493   -.3318793
       _cons |   .0056665   .0028811     1.97   0.056      -.00014     .011473
------------------------------------------------------------------------------

. eststo
(est4 stored)

. 
. * ki tar 
. reg dgrowth dltki growth1 

      Source |       SS       df       MS              Number of obs =      47
-------------+------------------------------           F(  2,    44) =   19.92
       Model |  .005484791     2  .002742396           Prob > F      =  0.0000
    Residual |  .006056934    44  .000137658           R-squared     =  0.4752
-------------+------------------------------           Adj R-squared =  0.4514
       Total |  .011541726    46  .000250907           Root MSE      =  .01173

------------------------------------------------------------------------------
     dgrowth |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       dltki |  -.0381548   .0154208    -2.47   0.017    -.0692333   -.0070763
     growth1 |  -.4987635   .0869905    -5.73   0.000    -.6740813   -.3234458
       _cons |   .0050499   .0030033     1.68   0.100    -.0010029    .0111027
------------------------------------------------------------------------------

. eststo
(est5 stored)

. 
. esttab using Table3b.csv, r2 cells(b se)  replace order(dltar dltc dltk dlti dltki) drop(_c
> ons)
(output written to Table3b.csv)

. eststo clear

. 
. *** TABLE 4
. 
. * ROBUST for K/I/KI
. 
. 
. * k tar 
. reg dgrowth dltk growth1

      Source |       SS       df       MS              Number of obs =      47
-------------+------------------------------           F(  2,    44) =   19.54
       Model |  .005428863     2  .002714431           Prob > F      =  0.0000
    Residual |  .006112863    44  .000138929           R-squared     =  0.4704
-------------+------------------------------           Adj R-squared =  0.4463
       Total |  .011541726    46  .000250907           Root MSE      =  .01179

------------------------------------------------------------------------------
     dgrowth |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        dltk |  -.0429799   .0180605    -2.38   0.022    -.0793785   -.0065814
     growth1 |  -.4870831   .0876771    -5.56   0.000    -.6637846   -.3103815
       _cons |   .0045319   .0031781     1.43   0.161    -.0018732     .010937
------------------------------------------------------------------------------

. eststo
(est1 stored)

. 
. * i tar 
. reg dgrowth dlti growth1

      Source |       SS       df       MS              Number of obs =      47
-------------+------------------------------           F(  2,    44) =   19.84
       Model |  .005472419     2  .002736209           Prob > F      =  0.0000
    Residual |  .006069307    44  .000137939           R-squared     =  0.4741
-------------+------------------------------           Adj R-squared =  0.4502
       Total |  .011541726    46  .000250907           Root MSE      =  .01174

------------------------------------------------------------------------------
     dgrowth |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        dlti |  -.0324916   .0132429    -2.45   0.018    -.0591808   -.0058023
     growth1 |  -.5073143   .0870486    -5.83   0.000    -.6827493   -.3318793
       _cons |   .0056665   .0028811     1.97   0.056      -.00014     .011473
------------------------------------------------------------------------------

. eststo
(est2 stored)

. 
. * ki tar 
. reg dgrowth dltki growth1

      Source |       SS       df       MS              Number of obs =      47
-------------+------------------------------           F(  2,    44) =   19.92
       Model |  .005484791     2  .002742396           Prob > F      =  0.0000
    Residual |  .006056934    44  .000137658           R-squared     =  0.4752
-------------+------------------------------           Adj R-squared =  0.4514
       Total |  .011541726    46  .000250907           Root MSE      =  .01173

------------------------------------------------------------------------------
     dgrowth |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       dltki |  -.0381548   .0154208    -2.47   0.017    -.0692333   -.0070763
     growth1 |  -.4987635   .0869905    -5.73   0.000    -.6740813   -.3234458
       _cons |   .0050499   .0030033     1.68   0.100    -.0010029    .0111027
------------------------------------------------------------------------------

. eststo
(est3 stored)

. 
. 
. * k tar 
. rreg dgrowth dltk growth1

   Huber iteration 1:  maximum difference in weights = .66237182
   Huber iteration 2:  maximum difference in weights = .08368169
   Huber iteration 3:  maximum difference in weights = .02979095
Biweight iteration 4:  maximum difference in weights = .29308251
Biweight iteration 5:  maximum difference in weights = .05787105
Biweight iteration 6:  maximum difference in weights = .01702968
Biweight iteration 7:  maximum difference in weights = .00566248

Robust regression                                      Number of obs =      47
                                                       F(  2,    44) =   32.56
                                                       Prob > F      =  0.0000

------------------------------------------------------------------------------
     dgrowth |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        dltk |  -.0330568   .0163981    -2.02   0.050     -.066105   -8.56e-06
     growth1 |  -.6060033   .0796067    -7.61   0.000    -.7664401   -.4455665
       _cons |   .0072231   .0028856     2.50   0.016     .0014076    .0130386
------------------------------------------------------------------------------

. eststo
(est4 stored)

. 
. * i tar 
. rreg dgrowth dlti growth1

   Huber iteration 1:  maximum difference in weights = .65650361
   Huber iteration 2:  maximum difference in weights = .07979988
   Huber iteration 3:  maximum difference in weights = .02235914
Biweight iteration 4:  maximum difference in weights = .29287043
Biweight iteration 5:  maximum difference in weights = .08325546
Biweight iteration 6:  maximum difference in weights = .03692693
Biweight iteration 7:  maximum difference in weights = .03036259
Biweight iteration 8:  maximum difference in weights = .00325378

Robust regression                                      Number of obs =      47
                                                       F(  2,    44) =   32.82
                                                       Prob > F      =  0.0000

------------------------------------------------------------------------------
     dgrowth |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        dlti |  -.0240318   .0120501    -1.99   0.052    -.0483172    .0002537
     growth1 |   -.623739   .0792085    -7.87   0.000    -.7833732   -.4641048
       _cons |   .0082623   .0026216     3.15   0.003     .0029788    .0135458
------------------------------------------------------------------------------

. eststo
(est5 stored)

. 
. * ki tar 
. rreg dgrowth dltki growth1

   Huber iteration 1:  maximum difference in weights = .65765052
   Huber iteration 2:  maximum difference in weights = .07362781
   Huber iteration 3:  maximum difference in weights = .01796855
Biweight iteration 4:  maximum difference in weights = .28835529
Biweight iteration 5:  maximum difference in weights = .06592156
Biweight iteration 6:  maximum difference in weights = .01921683
Biweight iteration 7:  maximum difference in weights = .0071544

Robust regression                                      Number of obs =      47
                                                       F(  2,    44) =   32.89
                                                       Prob > F      =  0.0000

------------------------------------------------------------------------------
     dgrowth |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       dltki |  -.0289139   .0140039    -2.06   0.045     -.057137   -.0006909
     growth1 |  -.6146243    .078998    -7.78   0.000    -.7738343   -.4554144
       _cons |   .0076701   .0027274     2.81   0.007     .0021734    .0131668
------------------------------------------------------------------------------

. eststo
(est6 stored)

. 
. esttab using Table4.csv, r2 cells(b se)  replace order(dltk dlti dltki) drop(_cons)
(output written to Table4.csv)

. eststo clear

. 
. 
. *** TABLE 5
. 
. * add other policies
. 
. sort isocode

. merge isocode using otherpolicies.dta
(note: you are using old merge syntax; see [D] merge for new syntax)

. drop _merge

. 
. 
. reg dgrowth growth1 libki 

      Source |       SS       df       MS              Number of obs =      47
-------------+------------------------------           F(  2,    44) =   21.39
       Model |  .005689451     2  .002844725           Prob > F      =  0.0000
    Residual |  .005852275    44  .000133006           R-squared     =  0.4929
-------------+------------------------------           Adj R-squared =  0.4699
       Total |  .011541726    46  .000250907           Root MSE      =  .01153

------------------------------------------------------------------------------
     dgrowth |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     growth1 |  -.4866055   .0857224    -5.68   0.000    -.6593678   -.3138433
       libki |   .0094711   .0033751     2.81   0.007     .0026691    .0162731
       _cons |   .0041401   .0030412     1.36   0.180    -.0019891    .0102693
------------------------------------------------------------------------------

. eststo
(est1 stored)

. reg dgrowth growth1 libki deklib

      Source |       SS       df       MS              Number of obs =      47
-------------+------------------------------           F(  3,    43) =   14.97
       Model |  .005895603     3  .001965201           Prob > F      =  0.0000
    Residual |  .005646123    43  .000131305           R-squared     =  0.5108
-------------+------------------------------           Adj R-squared =  0.4767
       Total |  .011541726    46  .000250907           Root MSE      =  .01146

------------------------------------------------------------------------------
     dgrowth |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     growth1 |  -.4600167   .0877761    -5.24   0.000    -.6370342   -.2829993
       libki |   .0087294   .0034052     2.56   0.014     .0018621    .0155967
      deklib |    .000145   .0001157     1.25   0.217    -.0000884    .0003784
       _cons |   .0014435   .0037098     0.39   0.699    -.0060379     .008925
------------------------------------------------------------------------------

. eststo
(est2 stored)

. reg dgrowth growth1 libki dcklib

      Source |       SS       df       MS              Number of obs =      47
-------------+------------------------------           F(  3,    43) =   14.39
       Model |  .005782033     3  .001927344           Prob > F      =  0.0000
    Residual |  .005759693    43  .000133946           R-squared     =  0.5010
-------------+------------------------------           Adj R-squared =  0.4662
       Total |  .011541726    46  .000250907           Root MSE      =  .01157

------------------------------------------------------------------------------
     dgrowth |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     growth1 |  -.4662284   .0894484    -5.21   0.000    -.6466184   -.2858385
       libki |   .0096915   .0033973     2.85   0.007     .0028401    .0165429
      dcklib |    .001696     .00204     0.83   0.410     -.002418    .0058099
       _cons |   .0022874   .0037789     0.61   0.548    -.0053335    .0099084
------------------------------------------------------------------------------

. eststo
(est3 stored)

. reg dgrowth growth1 libki dpcvol

      Source |       SS       df       MS              Number of obs =      47
-------------+------------------------------           F(  3,    43) =   15.61
       Model |  .006017341     3   .00200578           Prob > F      =  0.0000
    Residual |  .005524385    43  .000128474           R-squared     =  0.5214
-------------+------------------------------           Adj R-squared =  0.4880
       Total |  .011541726    46  .000250907           Root MSE      =  .01133

------------------------------------------------------------------------------
     dgrowth |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     growth1 |  -.4286506   .0917278    -4.67   0.000    -.6136373    -.243664
       libki |   .0086319   .0033584     2.57   0.014     .0018591    .0154048
      dpcvol |  -.0025042   .0015675    -1.60   0.117    -.0056653     .000657
       _cons |   .0022462   .0032155     0.70   0.489    -.0042385    .0087308
------------------------------------------------------------------------------

. eststo
(est4 stored)

. reg dgrowth growth1 libki dxrvol

      Source |       SS       df       MS              Number of obs =      47
-------------+------------------------------           F(  3,    43) =   15.62
       Model |  .006018989     3   .00200633           Prob > F      =  0.0000
    Residual |  .005522737    43  .000128436           R-squared     =  0.5215
-------------+------------------------------           Adj R-squared =  0.4881
       Total |  .011541726    46  .000250907           Root MSE      =  .01133

------------------------------------------------------------------------------
     dgrowth |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     growth1 |  -.4270817   .0920691    -4.64   0.000    -.6127568   -.2414066
       libki |   .0084482   .0033775     2.50   0.016     .0016368    .0152595
      dxrvol |  -.0025236   .0015755    -1.60   0.117    -.0057008    .0006536
       _cons |   .0021353     .00324     0.66   0.513    -.0043989    .0086694
------------------------------------------------------------------------------

. eststo
(est5 stored)

. reg dgrowth growth1 libki dcgvol

      Source |       SS       df       MS              Number of obs =      47
-------------+------------------------------           F(  3,    43) =   14.05
       Model |  .005714084     3  .001904695           Prob > F      =  0.0000
    Residual |  .005827642    43  .000135527           R-squared     =  0.4951
-------------+------------------------------           Adj R-squared =  0.4599
       Total |  .011541726    46  .000250907           Root MSE      =  .01164

------------------------------------------------------------------------------
     dgrowth |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     growth1 |  -.4846898   .0866474    -5.59   0.000    -.6594309   -.3099487
       libki |    .009582   .0034168     2.80   0.008     .0026913    .0164726
      dcgvol |  -.0003574   .0008384    -0.43   0.672    -.0020483    .0013334
       _cons |   .0039261   .0031107     1.26   0.214    -.0023471    .0101994
------------------------------------------------------------------------------

. eststo
(est6 stored)

. reg dgrowth growth1 libki deklib dcklib dpcvol dxrvol dcgvol

      Source |       SS       df       MS              Number of obs =      47
-------------+------------------------------           F(  7,    39) =    6.34
       Model |  .006144706     7  .000877815           Prob > F      =  0.0001
    Residual |  .005397019    39  .000138385           R-squared     =  0.5324
-------------+------------------------------           Adj R-squared =  0.4485
       Total |  .011541726    46  .000250907           Root MSE      =  .01176

------------------------------------------------------------------------------
     dgrowth |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     growth1 |  -.4140767   .0980134    -4.22   0.000    -.6123275    -.215826
       libki |   .0080635   .0037468     2.15   0.038     .0004848    .0156423
      deklib |   .0001119   .0001541     0.73   0.472    -.0001998    .0004237
      dcklib |  -.0000198   .0027442    -0.01   0.994    -.0055704    .0055308
      dpcvol |   .0004854   .0141371     0.03   0.973    -.0281096    .0290803
      dxrvol |  -.0026369    .014176    -0.19   0.853    -.0313107    .0260368
      dcgvol |   -.000238   .0008846    -0.27   0.789    -.0020273    .0015513
       _cons |   .0002097   .0041533     0.05   0.960     -.008191    .0086105
------------------------------------------------------------------------------

. eststo
(est7 stored)

. 
. esttab using Table5a.csv, r2 cells(b se)  replace order(libki growth1) drop(_cons)
(output written to Table5a.csv)

. eststo clear

. 
. 
. reg dgrowth growth1 dltki 

      Source |       SS       df       MS              Number of obs =      47
-------------+------------------------------           F(  2,    44) =   19.92
       Model |  .005484791     2  .002742396           Prob > F      =  0.0000
    Residual |  .006056934    44  .000137658           R-squared     =  0.4752
-------------+------------------------------           Adj R-squared =  0.4514
       Total |  .011541726    46  .000250907           Root MSE      =  .01173

------------------------------------------------------------------------------
     dgrowth |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     growth1 |  -.4987635   .0869905    -5.73   0.000    -.6740813   -.3234458
       dltki |  -.0381548   .0154208    -2.47   0.017    -.0692333   -.0070763
       _cons |   .0050499   .0030033     1.68   0.100    -.0010029    .0111027
------------------------------------------------------------------------------

. eststo
(est1 stored)

. reg dgrowth growth1 dltki deklib

      Source |       SS       df       MS              Number of obs =      47
-------------+------------------------------           F(  3,    43) =   13.94
       Model |  .005690044     3  .001896681           Prob > F      =  0.0000
    Residual |  .005851682    43  .000136086           R-squared     =  0.4930
-------------+------------------------------           Adj R-squared =  0.4576
       Total |  .011541726    46  .000250907           Root MSE      =  .01167

------------------------------------------------------------------------------
     dgrowth |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     growth1 |  -.4712881   .0893389    -5.28   0.000    -.6514571    -.291119
       dltki |   -.034371    .015639    -2.20   0.033    -.0659099    -.002832
      deklib |   .0001453   .0001183     1.23   0.226    -.0000933     .000384
       _cons |   .0023608   .0037029     0.64   0.527    -.0051068    .0098284
------------------------------------------------------------------------------

. eststo
(est2 stored)

. reg dgrowth growth1 dltki dcklib

      Source |       SS       df       MS              Number of obs =      47
-------------+------------------------------           F(  3,    43) =   13.41
       Model |  .005578355     3  .001859452           Prob > F      =  0.0000
    Residual |  .005963371    43  .000138683           R-squared     =  0.4833
-------------+------------------------------           Adj R-squared =  0.4473
       Total |  .011541726    46  .000250907           Root MSE      =  .01178

------------------------------------------------------------------------------
     dgrowth |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     growth1 |  -.4785073   .0907298    -5.27   0.000    -.6614813   -.2955332
       dltki |  -.0392838    .015539    -2.53   0.015    -.0706211   -.0079464
      dcklib |   .0017064   .0020775     0.82   0.416    -.0024833    .0058962
       _cons |   .0031818   .0037763     0.84   0.404    -.0044338    .0107973
------------------------------------------------------------------------------

. eststo
(est3 stored)

. reg dgrowth growth1 dltki dpcvol

      Source |       SS       df       MS              Number of obs =      47
-------------+------------------------------           F(  3,    43) =   14.96
       Model |   .00589496     3  .001964987           Prob > F      =  0.0000
    Residual |  .005646766    43   .00013132           R-squared     =  0.5108
-------------+------------------------------           Adj R-squared =  0.4766
       Total |  .011541726    46  .000250907           Root MSE      =  .01146

------------------------------------------------------------------------------
     dgrowth |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     growth1 |  -.4330568   .0927427    -4.67   0.000    -.6200903   -.2460233
       dltki |  -.0355867   .0151315    -2.35   0.023    -.0661024    -.005071
      dpcvol |  -.0027792   .0015725    -1.77   0.084    -.0059505    .0003921
       _cons |    .002731   .0032135     0.85   0.400    -.0037496    .0092116
------------------------------------------------------------------------------

. eststo
(est4 stored)

. reg dgrowth growth1 dltki dxrvol

      Source |       SS       df       MS              Number of obs =      47
-------------+------------------------------           F(  3,    43) =   15.06
       Model |  .005912722     3  .001970907           Prob > F      =  0.0000
    Residual |  .005629004    43  .000130907           R-squared     =  0.5123
-------------+------------------------------           Adj R-squared =  0.4783
       Total |  .011541726    46  .000250907           Root MSE      =  .01144

------------------------------------------------------------------------------
     dgrowth |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     growth1 |  -.4299824   .0929701    -4.62   0.000    -.6174746   -.2424903
       dltki |  -.0349476   .0151422    -2.31   0.026    -.0654847   -.0044105
      dxrvol |  -.0028434   .0015727    -1.81   0.078     -.006015    .0003282
       _cons |   .0025256   .0032445     0.78   0.441    -.0040177    .0090688
------------------------------------------------------------------------------

. eststo
(est5 stored)

. reg dgrowth growth1 dltki dcgvol

      Source |       SS       df       MS              Number of obs =      47
-------------+------------------------------           F(  3,    43) =   13.14
       Model |  .005520896     3  .001840299           Prob > F      =  0.0000
    Residual |   .00602083    43  .000140019           R-squared     =  0.4783
-------------+------------------------------           Adj R-squared =  0.4419
       Total |  .011541726    46  .000250907           Root MSE      =  .01183

------------------------------------------------------------------------------
     dgrowth |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     growth1 |  -.4965407   .0878427    -5.65   0.000    -.6736923   -.3193891
       dltki |  -.0391084   .0156655    -2.50   0.016    -.0707008    -.007516
      dcgvol |  -.0004346   .0008559    -0.51   0.614    -.0021607    .0012915
       _cons |   .0047585   .0030829     1.54   0.130    -.0014587    .0109757
------------------------------------------------------------------------------

. eststo
(est6 stored)

. reg dgrowth growth1 dltki deklib dcklib dpcvol dxrvol dcgvol

      Source |       SS       df       MS              Number of obs =      47
-------------+------------------------------           F(  7,    39) =    6.12
       Model |  .006039947     7   .00086285           Prob > F      =  0.0001
    Residual |  .005501779    39  .000141071           R-squared     =  0.5233
-------------+------------------------------           Adj R-squared =  0.4378
       Total |  .011541726    46  .000250907           Root MSE      =  .01188

------------------------------------------------------------------------------
     dgrowth |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     growth1 |  -.4152274   .0989754    -4.20   0.000     -.615424   -.2150307
       dltki |  -.0325872   .0167153    -1.95   0.058    -.0663971    .0012227
      deklib |   .0001029   .0001576     0.65   0.518    -.0002158    .0004216
      dcklib |   .0000958   .0027901     0.03   0.973    -.0055477    .0057393
      dpcvol |   .0040738   .0139814     0.29   0.772    -.0242063    .0323538
      dxrvol |  -.0065222   .0139754    -0.47   0.643      -.03479    .0217457
      dcgvol |  -.0002918   .0008945    -0.33   0.746     -.002101    .0015174
       _cons |   .0004543   .0041908     0.11   0.914    -.0080224    .0089309
------------------------------------------------------------------------------

. eststo
(est7 stored)

. 
. esttab using Table5b.csv, r2 cells(b se)  replace order(libki growth1) drop(_cons)
(output written to Table5b.csv)

. eststo clear

. 
. 
. *** TABLE 6
. 
. 
. * endoegneity -- explaining levels/changes in tariffs
. 
. * efw data
. 
. sort isocode

. merge isocode using ACLPFreedomHouse.dta
(note: you are using old merge syntax; see [D] merge for new syntax)

. gen pollib1 = (7-pollib1975)/6
(98 missing values generated)

. gen pollib2 = (7-pollib1990)/6
(110 missing values generated)

. gen dpollib = pollib2 - pollib1
(118 missing values generated)

. tab _merge

     _merge |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |         90       40.54       40.54
          2 |          2        0.90       41.44
          3 |        130       58.56      100.00
------------+-----------------------------------
      Total |        222      100.00

. drop _merge

. 
. 
. reg ltar1 inst1

      Source |       SS       df       MS              Number of obs =      91
-------------+------------------------------           F(  1,    89) =   34.37
       Model |   .52158282     1   .52158282           Prob > F      =  0.0000
    Residual |  1.35060604    89  .015175349           R-squared     =  0.2786
-------------+------------------------------           Adj R-squared =  0.2705
       Total |  1.87218885    90  .020802098           Root MSE      =  .12319

------------------------------------------------------------------------------
       ltar1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       inst1 |  -.4146114   .0707211    -5.86   0.000    -.5551327   -.2740901
       _cons |    .419889   .0385734    10.89   0.000     .3432445    .4965335
------------------------------------------------------------------------------

. eststo
(est1 stored)

. reg dltar inst1

      Source |       SS       df       MS              Number of obs =      83
-------------+------------------------------           F(  1,    81) =    9.54
       Model |  .125864921     1  .125864921           Prob > F      =  0.0028
    Residual |  1.06845889    81   .01319085           R-squared     =  0.1054
-------------+------------------------------           Adj R-squared =  0.0943
       Total |  1.19432381    82  .014564925           Root MSE      =  .11485

------------------------------------------------------------------------------
       dltar |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       inst1 |   .2111745   .0683637     3.09   0.003     .0751522    .3471967
       _cons |  -.2085341   .0379279    -5.50   0.000    -.2839988   -.1330695
------------------------------------------------------------------------------

. eststo
(est2 stored)

. reg dltar dinst

      Source |       SS       df       MS              Number of obs =      83
-------------+------------------------------           F(  1,    81) =    2.23
       Model |  .032023346     1  .032023346           Prob > F      =  0.1391
    Residual |  1.16230046    81  .014349388           R-squared     =  0.0268
-------------+------------------------------           Adj R-squared =  0.0148
       Total |  1.19432381    82  .014564925           Root MSE      =  .11979

------------------------------------------------------------------------------
       dltar |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       dinst |   .1586751   .1062165     1.49   0.139    -.0526625    .3700126
       _cons |  -.1123746   .0162789    -6.90   0.000    -.1447645   -.0799846
------------------------------------------------------------------------------

. eststo
(est3 stored)

. reg ltar1 pollib1

      Source |       SS       df       MS              Number of obs =      84
-------------+------------------------------           F(  1,    82) =   13.90
       Model |  .246946871     1  .246946871           Prob > F      =  0.0004
    Residual |  1.45706796    82  .017769121           R-squared     =  0.1449
-------------+------------------------------           Adj R-squared =  0.1345
       Total |  1.70401483    83  .020530299           Root MSE      =   .1333

------------------------------------------------------------------------------
       ltar1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     pollib1 |  -.1483348     .03979    -3.73   0.000    -.2274899   -.0691798
       _cons |   .2936242   .0252215    11.64   0.000     .2434505    .3437979
------------------------------------------------------------------------------

. eststo
(est4 stored)

. reg dltar pollib1

      Source |       SS       df       MS              Number of obs =      79
-------------+------------------------------           F(  1,    77) =    2.01
       Model |  .029021698     1  .029021698           Prob > F      =  0.1598
    Residual |  1.10931455    77  .014406682           R-squared     =  0.0255
-------------+------------------------------           Adj R-squared =  0.0128
       Total |  1.13833624    78  .014594054           Root MSE      =  .12003

------------------------------------------------------------------------------
       dltar |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     pollib1 |   .0525436   .0370203     1.42   0.160    -.0211733    .1262605
       _cons |  -.1325546   .0241273    -5.49   0.000    -.1805982   -.0845109
------------------------------------------------------------------------------

. eststo
(est5 stored)

. reg dltar dpollib

      Source |       SS       df       MS              Number of obs =      74
-------------+------------------------------           F(  1,    72) =    0.91
       Model |  .013760271     1  .013760271           Prob > F      =  0.3426
    Residual |  1.08531134    72  .015073769           R-squared     =  0.0125
-------------+------------------------------           Adj R-squared = -0.0012
       Total |  1.09907161    73  .015055775           Root MSE      =  .12278

------------------------------------------------------------------------------
       dltar |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     dpollib |   -.054457   .0569969    -0.96   0.343    -.1680783    .0591642
       _cons |  -.1026113   .0158111    -6.49   0.000      -.13413   -.0710925
------------------------------------------------------------------------------

. eststo
(est6 stored)

. 
. esttab using Table6a.csv, r2 cells(b se)  replace drop(_cons)
(output written to Table6a.csv)

. eststo clear

. 
. 
. reg ltar1 inst1 if developing

      Source |       SS       df       MS              Number of obs =      69
-------------+------------------------------           F(  1,    67) =    5.07
       Model |  .095723642     1  .095723642           Prob > F      =  0.0276
    Residual |  1.26532332    67  .018885423           R-squared     =  0.0703
-------------+------------------------------           Adj R-squared =  0.0565
       Total |  1.36104697    68  .020015397           Root MSE      =  .13742

------------------------------------------------------------------------------
       ltar1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       inst1 |  -.2772421   .1231439    -2.25   0.028    -.5230384   -.0314458
       _cons |   .3698405   .0563285     6.57   0.000     .2574083    .4822728
------------------------------------------------------------------------------

. eststo
(est1 stored)

. reg dltar inst1 if developing

      Source |       SS       df       MS              Number of obs =      61
-------------+------------------------------           F(  1,    59) =    3.33
       Model |  .059444614     1  .059444614           Prob > F      =  0.0732
    Residual |  1.05384706    59  .017861815           R-squared     =  0.0534
-------------+------------------------------           Adj R-squared =  0.0374
       Total |  1.11329168    60  .018554861           Root MSE      =  .13365

------------------------------------------------------------------------------
       dltar |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       inst1 |   .2312399   .1267562     1.82   0.073    -.0223987    .4848785
       _cons |  -.2175086   .0583189    -3.73   0.000    -.3342045   -.1008127
------------------------------------------------------------------------------

. eststo
(est2 stored)

. reg dltar dinst if developing

      Source |       SS       df       MS              Number of obs =      61
-------------+------------------------------           F(  1,    59) =    1.17
       Model |   .02168211     1   .02168211           Prob > F      =  0.2834
    Residual |  1.09160957    59  .018501857           R-squared     =  0.0195
-------------+------------------------------           Adj R-squared =  0.0029
       Total |  1.11329168    60  .018554861           Root MSE      =  .13602

------------------------------------------------------------------------------
       dltar |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       dinst |   .1360979   .1257211     1.08   0.283    -.1154695    .3876653
       _cons |  -.1265995   .0200702    -6.31   0.000      -.16676   -.0864391
------------------------------------------------------------------------------

. eststo
(est3 stored)

. reg ltar1 pollib1 if developing

      Source |       SS       df       MS              Number of obs =      62
-------------+------------------------------           F(  1,    60) =    0.11
       Model |  .001929487     1  .001929487           Prob > F      =  0.7463
    Residual |  1.09605483    60   .01826758           R-squared     =  0.0018
-------------+------------------------------           Adj R-squared = -0.0149
       Total |  1.09798431    61  .017999743           Root MSE      =  .13516

------------------------------------------------------------------------------
       ltar1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     pollib1 |   .0188122   .0578842     0.32   0.746    -.0969734    .1345979
       _cons |   .2599742   .0273693     9.50   0.000     .2052275    .3147209
------------------------------------------------------------------------------

. eststo
(est4 stored)

. reg dltar pollib1 if developing

      Source |       SS       df       MS              Number of obs =      57
-------------+------------------------------           F(  1,    55) =    0.14
       Model |  .002622263     1  .002622263           Prob > F      =  0.7102
    Residual |  1.03373802    55  .018795237           R-squared     =  0.0025
-------------+------------------------------           Adj R-squared = -0.0156
       Total |  1.03636028    56  .018506434           Root MSE      =   .1371

------------------------------------------------------------------------------
       dltar |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     pollib1 |  -.0225094   .0602629    -0.37   0.710    -.1432791    .0982602
       _cons |  -.1168697   .0295083    -3.96   0.000    -.1760057   -.0577337
------------------------------------------------------------------------------

. eststo
(est5 stored)

. reg dltar dpollib if developing

      Source |       SS       df       MS              Number of obs =      52
-------------+------------------------------           F(  1,    50) =    0.28
       Model |  .005349908     1  .005349908           Prob > F      =  0.6021
    Residual |   .97135927    50  .019427185           R-squared     =  0.0055
-------------+------------------------------           Adj R-squared = -0.0144
       Total |  .976709178    51   .01915116           Root MSE      =  .13938

------------------------------------------------------------------------------
       dltar |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     dpollib |   -.036313   .0691981    -0.52   0.602    -.1753014    .1026754
       _cons |  -.1293991   .0217534    -5.95   0.000    -.1730921   -.0857061
------------------------------------------------------------------------------

. eststo
(est6 stored)

. 
. esttab using Table6b.csv, r2 cells(b se)  replace drop(_cons)
(output written to Table6b.csv)

. eststo clear

. 
. 
. 
. *** TABLE 7
. 
. *
. sort isocode

. merge isocode using roseaccession.dta
(note: you are using old merge syntax; see [D] merge for new syntax)

. tab _merge

     _merge |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |         55       24.66       24.66
          2 |          1        0.45       25.11
          3 |        167       74.89      100.00
------------+-----------------------------------
      Total |        223      100.00

. drop _merge

. 
. sort isocode

. 
. gen gattwait = accyear-1948
(84 missing values generated)

. replace gattwait = . if isocode=="TWN"
(1 real change made, 1 to missing)

. gen gattyears = 54 - gattwait
(85 missing values generated)

. 
. gen gatt86 = 0

. replace gatt86 = 1 if accyear<1986
(87 real changes made)

. 
. gen gatt75 = 0

. replace gatt75 = 1 if accyear<1975
(82 real changes made)

. 
. gen gattwaitl = ln(gattwait)
(105 missing values generated)

. 
. 
. gen gatpot75 = gatt75*ltki1
(174 missing values generated)

. 
. 
. reg dltki gatpot75 growth1   if  dschool~=. & dinst~=. & dgrowth~=.

      Source |       SS       df       MS              Number of obs =      44
-------------+------------------------------           F(  2,    41) =   26.14
       Model |  .301144141     2  .150572071           Prob > F      =  0.0000
    Residual |  .236143286    41  .005759592           R-squared     =  0.5605
-------------+------------------------------           Adj R-squared =  0.5391
       Total |  .537287428    43  .012495056           Root MSE      =  .07589

------------------------------------------------------------------------------
       dltki |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    gatpot75 |  -.5172452   .0719656    -7.19   0.000    -.6625826   -.3719077
     growth1 |  -.0453398   .5837806    -0.08   0.938    -1.224309    1.133629
       _cons |  -.0469537    .019968    -2.35   0.024    -.0872798   -.0066275
------------------------------------------------------------------------------

. eststo
(est1 stored)

. ivreg dgrowth (dltki=gatpot75) growth1

Instrumental variables (2SLS) regression

      Source |       SS       df       MS              Number of obs =      47
-------------+------------------------------           F(  2,    44) =   19.84
       Model |  .005344519     2  .002672259           Prob > F      =  0.0000
    Residual |  .006197207    44  .000140846           R-squared     =  0.4631
-------------+------------------------------           Adj R-squared =  0.4387
       Total |  .011541726    46  .000250907           Root MSE      =  .01187

------------------------------------------------------------------------------
     dgrowth |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       dltki |  -.0537214   .0207061    -2.59   0.013    -.0954517    -.011991
     growth1 |  -.4962399   .0880197    -5.64   0.000    -.6736319   -.3188478
       _cons |   .0033731   .0033735     1.00   0.323    -.0034258     .010172
------------------------------------------------------------------------------
Instrumented:  dltki
Instruments:   growth1 gatpot75
------------------------------------------------------------------------------

. eststo
(est2 stored)

. 
. reg dltki gatpot75 growth1 dschool dinst  if  dschool~=. & dinst~=. & dgrowth~=.

      Source |       SS       df       MS              Number of obs =      44
-------------+------------------------------           F(  4,    39) =   17.56
       Model |  .345469632     4  .086367408           Prob > F      =  0.0000
    Residual |  .191817796    39  .004918405           R-squared     =  0.6430
-------------+------------------------------           Adj R-squared =  0.6064
       Total |  .537287428    43  .012495056           Root MSE      =  .07013

------------------------------------------------------------------------------
       dltki |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    gatpot75 |  -.5479204   .0673878    -8.13   0.000    -.6842252   -.4116156
     growth1 |   .1594529   .5613554     0.28   0.778    -.9759956    1.294901
     dschool |  -.0064778   .0179217    -0.36   0.720    -.0427279    .0297722
       dinst |   .2910807    .101021     2.88   0.006     .0867464     .495415
       _cons |  -.0596017   .0306947    -1.94   0.059    -.1216875    .0024841
------------------------------------------------------------------------------

. eststo
(est3 stored)

. ivreg dgrowth (dltki=gatpot75) growth1 dschool dinst 

Instrumental variables (2SLS) regression

      Source |       SS       df       MS              Number of obs =      44
-------------+------------------------------           F(  4,    39) =   10.44
       Model |  .005689061     4  .001422265           Prob > F      =  0.0000
    Residual |  .005589247    39  .000143314           R-squared     =  0.5044
-------------+------------------------------           Adj R-squared =  0.4536
       Total |  .011278308    43  .000262286           Root MSE      =  .01197

------------------------------------------------------------------------------
     dgrowth |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       dltki |   -.048172   .0209941    -2.29   0.027    -.0906365   -.0057076
     growth1 |  -.5238629   .0962467    -5.44   0.000    -.7185403   -.3291855
     dschool |   .0005458   .0030673     0.18   0.860    -.0056583    .0067499
       dinst |   .0146189   .0173419     0.84   0.404    -.0204585    .0496963
       _cons |   .0030632   .0056775     0.54   0.593    -.0084206     .014547
------------------------------------------------------------------------------
Instrumented:  dltki
Instruments:   growth1 dschool dinst gatpot75
------------------------------------------------------------------------------

. eststo
(est4 stored)

. 
. esttab using Table7a.csv, r2 cells(b se) order(gatpot75 dltki) replace drop(_cons)
(output written to Table7a.csv)

. eststo clear

. 
. 
. drop if isocode==""
(0 observations deleted)

. sort isocode

. merge isocode using madd2004gtdep.dta
(note: you are using old merge syntax; see [D] merge for new syntax)

. tab _merge

     _merge |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |        173       77.23       77.23
          2 |          1        0.45       77.68
          3 |         50       22.32      100.00
------------+-----------------------------------
      Total |        224      100.00

. drop _merge

. 
. gen gatpotgd = gtdep*ltki1
(192 missing values generated)

. 
. 
. reg dltki gatpotgd growth1   if  dschool~=. & dinst~=. & dgrowth~=.

      Source |       SS       df       MS              Number of obs =      31
-------------+------------------------------           F(  2,    28) =  332.23
       Model |  .279167836     2  .139583918           Prob > F      =  0.0000
    Residual |  .011763878    28  .000420138           R-squared     =  0.9596
-------------+------------------------------           Adj R-squared =  0.9567
       Total |  .290931714    30  .009697724           Root MSE      =   .0205

------------------------------------------------------------------------------
       dltki |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    gatpotgd |  -.6501162   .0253197   -25.68   0.000    -.7019812   -.5982511
     growth1 |   .1462443   .2016643     0.73   0.474    -.2668463    .5593349
       _cons |  -.0008715   .0073719    -0.12   0.907    -.0159721    .0142292
------------------------------------------------------------------------------

. eststo
(est1 stored)

. ivreg dgrowth (dltki=gatpotgd) growth1

Instrumental variables (2SLS) regression

      Source |       SS       df       MS              Number of obs =      31
-------------+------------------------------           F(  2,    28) =   11.39
       Model |  .002481019     2   .00124051           Prob > F      =  0.0002
    Residual |  .003235073    28  .000115538           R-squared     =  0.4340
-------------+------------------------------           Adj R-squared =  0.3936
       Total |  .005716092    30  .000190536           Root MSE      =  .01075

------------------------------------------------------------------------------
     dgrowth |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       dltki |  -.0540778   .0204237    -2.65   0.013    -.0959139   -.0122418
     growth1 |  -.3943532    .105976    -3.72   0.001    -.6114351   -.1772712
       _cons |   .0021388   .0038771     0.55   0.586    -.0058031    .0100808
------------------------------------------------------------------------------
Instrumented:  dltki
Instruments:   growth1 gatpotgd
------------------------------------------------------------------------------

. eststo
(est2 stored)

. 
. reg dltki gatpotgd growth1 dschool dinst  if  dschool~=. & dinst~=. & dgrowth~=.

      Source |       SS       df       MS              Number of obs =      31
-------------+------------------------------           F(  4,    26) =  164.74
       Model |  .279888626     4  .069972157           Prob > F      =  0.0000
    Residual |  .011043087    26  .000424734           R-squared     =  0.9620
-------------+------------------------------           Adj R-squared =  0.9562
       Total |  .290931714    30  .009697724           Root MSE      =  .02061

------------------------------------------------------------------------------
       dltki |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    gatpotgd |  -.6591609   .0273426   -24.11   0.000    -.7153644   -.6029573
     growth1 |   .0941772   .2132495     0.44   0.662    -.3441636    .5325179
     dschool |   .0011892   .0060788     0.20   0.846    -.0113058    .0136843
       dinst |  -.0446943   .0345917    -1.29   0.208    -.1157985      .02641
       _cons |     .00357   .0103803     0.34   0.734    -.0177669     .024907
------------------------------------------------------------------------------

. eststo
(est3 stored)

. ivreg dgrowth (dltki=gatpotgd) growth1 dschool dinst 

Instrumental variables (2SLS) regression

      Source |       SS       df       MS              Number of obs =      31
-------------+------------------------------           F(  4,    26) =    5.37
       Model |  .002516466     4  .000629117           Prob > F      =  0.0027
    Residual |  .003199626    26  .000123063           R-squared     =  0.4402
-------------+------------------------------           Adj R-squared =  0.3541
       Total |  .005716092    30  .000190536           Root MSE      =  .01109

------------------------------------------------------------------------------
     dgrowth |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       dltki |  -.0506819   .0223282    -2.27   0.032    -.0965781   -.0047858
     growth1 |  -.4086808   .1151539    -3.55   0.001     -.645383   -.1719786
     dschool |   .0007916   .0032643     0.24   0.810    -.0059182    .0075014
       dinst |  -.0069711   .0184276    -0.38   0.708    -.0448496    .0309074
       _cons |   .0022431   .0055607     0.40   0.690    -.0091872    .0136734
------------------------------------------------------------------------------
Instrumented:  dltki
Instruments:   growth1 dschool dinst gatpotgd
------------------------------------------------------------------------------

. eststo
(est4 stored)

. 
. esttab using Table7b.csv, r2 cells(b se) order(gatpotgd dltki) replace drop(_cons)
(output written to Table7b.csv)

. eststo clear

. 
. *** Table 8 at the end of this file, need other definitions first
. 
. 
. 
. *** FIGURE 2
. 
. * define hi low and lib - avg tariffs
. 
. gen tariffend = ltar2
(113 missing values generated)

. bysort isocode: egen tariffend1 = median(tariffend)
(113 missing values generated)

. egen tariffendm = median(tariffend)

. gen tariffendlow = 0 if tariffendm~=.

. replace tariffendlow = 1 if tariffend1<tariffendm
(55 real changes made)

. 
. gen liberalizer = exp(ltar2)-1 if lib1==1
(182 missing values generated)

. gen nonliberalizer = exp(ltar2)-1 if lib1==0
(181 missing values generated)

. gen nonlib_low = exp(ltar2)-1 if lib1==0 & tariffendlow==1
(197 missing values generated)

. gen nonlib_high = exp(ltar2)-1 if lib1==0 & tariffendlow==0
(208 missing values generated)

. gen tar1 = exp(ltar1)-1
(130 missing values generated)

. 
. label var liberalizer "Liberalizers"

. label var nonliberalizer "Nonliberalizers"

. label var nonlib_high "Non-Liberalizers: High Tariffs"

. label var nonlib_low "Non-Liberalizers: Low Tariffs"

. label var tar1 "45 degree line"

. 
. scatter liberalizer nonliberalizer tar1 tar1, ///
>         saving(Figure2a,replace) xtitle(ln (1+t) before) ytitle(ln (1+t) after) mlabel(isoc
> ode isocode) c(. . l) msymbol(o o i)
(file Figure2a.gph saved)

. gr export Figure2a.pdf, replace
(file /Users/amtaylor/Documents/amt/Current/Toni2004/REStatReplicationFiles/Figure2a.pdf writ
> ten in PDF format)

. 
. list isocode tar1 liberalizer nonlib_high nonlib_low if tar1~=.

     +-----------------------------------------------------+
     | isocode       tar1   libera~r   nonlib~h   nonlib~w |
     |-----------------------------------------------------|
  8. |     ARE        .04          .          .        .04 |
  9. |     ARG        .27       .126          .          . |
 13. |     AUS       .133       .058          .          . |
 14. |     AUT         .1       .024          .          . |
 16. |     BDI       .379          .          .          . |
     |-----------------------------------------------------|
 17. |     BEL       .075          .          .       .024 |
 18. |     BEN       .374        .12          .          . |
 20. |     BGD        .86       .216          .          . |
 22. |     BHR        .06          .          .          . |
 23. |     BHS       .323          .        .35          . |
     |-----------------------------------------------------|
 27. |     BLZ        .17          .          .          . |
 29. |     BOL       .198       .095          .          . |
 30. |     BRA       .556       .144          .          . |
 31. |     BRB        .17          .        .19          . |
 35. |     BWA        .06          .          .       .072 |
     |-----------------------------------------------------|
 36. |     CAF        .32       .186          .          . |
 37. |     CAN       .105          .          .       .039 |
 38. |     CHE       .044          .          .          0 |
 40. |     CHL         .3        .09          .          . |
 41. |     CHN       .395       .163          .          . |
     |-----------------------------------------------------|
 42. |     CIV       .233        .12          .          . |
 44. |     COD       .224          .          .          . |
 45. |     COG        .32       .176          .          . |
 46. |     COL       .336       .117          .          . |
 49. |     CRI        .53       .054          .          . |
     |-----------------------------------------------------|
 52. |     CYP       .176          .       .164          . |
 54. |     DEU       .075          .          .       .024 |
 57. |     DNK       .075          .          .       .024 |
 59. |     DZA       .217          .       .246          . |
 60. |     ECU       .377       .129          .          . |
     |-----------------------------------------------------|
 61. |     EGY       .428       .205          .          . |
 63. |     ESP       .075          .          .       .024 |
 66. |     FIN        .07          .          .       .024 |
 68. |     FRA       .075          .          .       .024 |
 71. |     GAB       .296       .204          .          . |
     |-----------------------------------------------------|
 72. |     GBR       .075          .          .       .024 |
 76. |     GHA         .3       .152          .          . |
 81. |     GRC       .075          .          .       .024 |
 84. |     GTM         .5       .072          .          . |
 86. |     GUY        .17          .        .17          . |
     |-----------------------------------------------------|
 87. |     HKG          0          .          .          0 |
 90. |     HTI       .116          .         .1          . |
 93. |     IDN       .181       .084          .          . |
 96. |     IND       .988       .325          .          . |
 97. |     IRL       .075          .          .       .024 |
     |-----------------------------------------------------|
 98. |     IRN       .207       .049          .          . |
100. |     ISL       .067          .          .       .019 |
102. |     ITA       .075          .          .       .024 |
103. |     JAM        .17          .       .106          . |
105. |     JOR       .138          .        .24          . |
     |-----------------------------------------------------|
106. |     JPN       .067          .          .       .045 |
108. |     KEN       .392       .193          .          . |
113. |     KOR        .23       .087          .          . |
114. |     KWT        .04          .          .          . |
121. |     LKA        .29       .099          .          . |
     |-----------------------------------------------------|
124. |     LUX       .075          .          .       .024 |
127. |     MAR       .235          .       .336          . |
130. |     MDG        .46          .          .          . |
132. |     MEX         .3       .162          .          . |
135. |     MLI        .35        .12          .          . |
     |-----------------------------------------------------|
142. |     MUS       .349          .        .31          . |
143. |     MWI       .167          .       .196          . |
144. |     MYS       .136          .          .       .092 |
146. |     NAM        .06          .          .       .072 |
149. |     NGA        .37          .          .          . |
     |-----------------------------------------------------|
150. |     NIC        .54       .032          .          . |
151. |     NLD       .075          .          .       .024 |
152. |     NOR       .057          .          .       .029 |
153. |     NPL       .226       .147          .          . |
154. |     NZL        .16       .034          .          . |
     |-----------------------------------------------------|
156. |     OMN        .03          .          .       .047 |
157. |     PAK        .78       .466          .          . |
159. |     PER        .64       .134          .          . |
160. |     PHL       .276       .076          .          . |
162. |     PNG        .07          .       .211          . |
     |-----------------------------------------------------|
163. |     POL       .136          .         .1          . |
167. |     PRY   .7169999       .109          .          . |
178. |     SEN        .39        .12          .          . |
179. |     SGP       .003          .          .       .004 |
181. |     SLE       .258          .          .          . |
     |-----------------------------------------------------|
190. |     SWE       .041          .          .       .024 |
193. |     SYR        .27          .          .          . |
196. |     THA       .312        .17          .          . |
201. |     TTO        .17          .       .184          . |
202. |     TUN        .24          .       .306          . |
     |-----------------------------------------------------|
203. |     TUR       .266       .071          .          . |
205. |     TZA        .32       .191          .          . |
206. |     UGA         .3       .083          .          . |
209. |     URY        .31       .111          .          . |
210. |     USA       .066          .          .        .04 |
     |-----------------------------------------------------|
213. |     VEN       .329       .135          .          . |
221. |     ZAF        .06          .          .       .085 |
223. |     ZMB       .348       .147          .          . |
224. |     ZWE       .087          .       .214          . |
     +-----------------------------------------------------+

. 
. drop tariffend tariffend* liberalizer nonliberalizer nonlib_low nonlib_high tar1

. 
. 
. * define hi low and lib - K tariffs
. 
. gen tariffend = ltki2
(175 missing values generated)

. bysort isocode: egen tariffend1 = median(tariffend)
(175 missing values generated)

. egen tariffendm = median(tariffend)

. gen tariffendlow = 0 if tariffendm~=.

. replace tariffendlow = 1 if tariffend1<tariffendm
(24 real changes made)

. 
. gen liberalizer = exp(ltki2)-1 if libki==1
(200 missing values generated)

. gen nonliberalizer = exp(ltki2)-1 if libki==0
(199 missing values generated)

. gen nonlib_low = exp(ltki2)-1 if libki==0 & tariffendlow==1
(206 missing values generated)

. gen nonlib_high = exp(ltki2)-1 if libki==0 & tariffendlow==0
(217 missing values generated)

. gen tar1 = exp(ltki1)-1
(175 missing values generated)

. 
. label var liberalizer "Liberalizers"

. label var nonliberalizer "Nonliberalizers"

. label var nonlib_high "Non-Liberalizers: High Tariffs"

. label var nonlib_low "Non-Liberalizers: Low Tariffs"

. label var tar1 "45 degree line"

. 
. scatter liberalizer nonliberalizer tar1 tar1, ///
>         saving(Figure2b,replace) xtitle(ln (1+tki) before) ytitle(ln (1+tki) after) mlabel(
> isocode isocode) c(. . l) msymbol(o o i)
(file Figure2b.gph saved)

. gr export Figure2b.pdf, replace
(file /Users/amtaylor/Documents/amt/Current/Toni2004/REStatReplicationFiles/Figure2b.pdf writ
> ten in PDF format)

.         
. list isocode tar1 liberalizer nonlib_high nonlib_low if tar1~=.

     +-----------------------------------------------------+
     | isocode       tar1   libera~r   nonlib~h   nonlib~w |
     |-----------------------------------------------------|
  9. |     ARG   .3865486   .1377893          .          . |
 13. |     AUS   .0998655   .0361943          .          . |
 14. |     AUT     .06514          .          .   .0292887 |
 20. |     BGD   .8184615   .1631046          .          . |
 26. |     BLX   .0610347          .          .   .0292887 |
     |-----------------------------------------------------|
 29. |     BOL   .2071626   .0830721          .          . |
 30. |     BRA    .491915    .153046          .          . |
 37. |     CAN    .077843          .          .    .027862 |
 40. |     CHL   .2003065        .09          .          . |
 41. |     CHN   .4170958    .139272          .          . |
     |-----------------------------------------------------|
 42. |     CIV   .0489521          .   .0914519          . |
 46. |     COL   .4113148   .0989882          .          . |
 54. |     DEU   .0610347          .          .   .0292887 |
 57. |     DNK   .0610347          .          .   .0292887 |
 59. |     DZA   .1720805          .   .1710875          . |
     |-----------------------------------------------------|
 60. |     ECU   .4368637   .1096332          .          . |
 63. |     ESP   .0610347          .          .   .0292887 |
 66. |     FIN   .0531118          .          .   .0292887 |
 68. |     FRA   .0610347          .          .   .0292887 |
 72. |     GBR   .0610347          .          .   .0292887 |
     |-----------------------------------------------------|
 76. |     GHA   .1162762          .   .0944646          . |
 87. |     HKG          0          .          .          0 |
 93. |     IDN   .1566336   .0563416          .          . |
 96. |     IND   .7557312   .3041593          .          . |
100. |     ISL   .0167251          .          .   .0108488 |
     |-----------------------------------------------------|
101. |     ISR   .0530677          .          .   .0339177 |
102. |     ITA   .0610347          .          .   .0292887 |
106. |     JPN   .2289032   .0136576          .          . |
113. |     KOR   .3991823   .0735026          .          . |
121. |     LKA   .1761477   .0644853          .          . |
     |-----------------------------------------------------|
127. |     MAR   .1991769          .    .210169          . |
132. |     MEX   .2826435   .1409121          .          . |
144. |     MYS   .1017041          .   .0596956          . |
151. |     NLD   .0610347          .          .   .0292887 |
153. |     NPL   .1342369          .   .1035749          . |
     |-----------------------------------------------------|
154. |     NZL   .0727472   .0208651          .          . |
157. |     PAK   .6248837   .1744824          .          . |
159. |     PER   .5899755   .1249682          .          . |
160. |     PHL   .2580166    .049432          .          . |
167. |     PRY   .1519072          .   .1048525          . |
     |-----------------------------------------------------|
179. |     SGP   .0395532          .          .          0 |
190. |     SWE   .0370802          .          .   .0292887 |
196. |     THA   .3160835   .1200367          .          . |
201. |     TTO   .1146349   .0327199          .          . |
203. |     TUR   .0797305          .          .   .0493724 |
     |-----------------------------------------------------|
204. |     TWN   .3775717   .0523169          .          . |
209. |     URY   .3247347    .112606          .          . |
210. |     USA   .0464647          .          .   .0277091 |
213. |     VEN   .2406231   .1011141          .          . |
     +-----------------------------------------------------+

. 
. *** FIGURE 4 (Fig 3 below)
. 
. 
. keep isocode liberalizer nonliberalizer

. sort isocode

. save treatments2, replace
file treatments2.dta saved

. clear

. 
. insheet using pwt62.csv
(27 vars, 10340 obs)

. replace isocode = "DEU" if isocode == "GER"
(55 real changes made)

. sort isocode year

. merge isocode using treatments2
(note: you are using old merge syntax; see [D] merge for new syntax)
variable isocode does not uniquely identify observations in the master data

. 
. gen ly=ln(rgdpch)
(3042 missing values generated)

. gen lyhold=ly if year==1975
(10222 missing values generated)

. bysort isocode: egen ly75=mean(lyhold)
(1906 missing values generated)

. gen lyrel = ly - ly75
(3459 missing values generated)

. bysort year: egen lyn = mean(lyrel)  if nonliberalizer~=.
(9056 missing values generated)

. bysort year: egen lyl = mean(lyrel)  if liberalizer~=.
(9056 missing values generated)

. 
. reg lyl year if year>=1975 & year<=1989

      Source |       SS       df       MS              Number of obs =     360
-------------+------------------------------           F(  1,   358) = 3925.00
       Model |  2.01256157     1  2.01256157           Prob > F      =  0.0000
    Residual |  .183566262   358  .000512755           R-squared     =  0.9164
-------------+------------------------------           Adj R-squared =  0.9162
       Total |  2.19612783   359  .006117348           Root MSE      =  .02264

------------------------------------------------------------------------------
         lyl |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        year |   .0173057   .0002762    62.65   0.000     .0167625     .017849
       _cons |  -34.14105   .5474885   -62.36   0.000    -35.21775   -33.06436
------------------------------------------------------------------------------

. predict lyltrend
(option xb assumed; fitted values)
(36 missing values generated)

. 
. reg lyn year if year>=1975 & year<=1989

      Source |       SS       df       MS              Number of obs =     360
-------------+------------------------------           F(  1,   358) =14553.96
       Model |  3.02172072     1  3.02172072           Prob > F      =  0.0000
    Residual |  .074328634   358  .000207622           R-squared     =  0.9760
-------------+------------------------------           Adj R-squared =  0.9759
       Total |  3.09604935   359  .008624093           Root MSE      =  .01441

------------------------------------------------------------------------------
         lyn |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        year |   .0212052   .0001758   120.64   0.000     .0208595    .0215509
       _cons |   -41.8593   .3483827  -120.15   0.000    -42.54444   -41.17417
------------------------------------------------------------------------------

. predict lyntrend
(option xb assumed; fitted values)
(36 missing values generated)

. 
. gen lyl0 = lyl-lyltrend
(9056 missing values generated)

. gen lyn0 = lyn-lyntrend
(9056 missing values generated)

. 
. label var lyl0 "Liberalizers"

. label var lyn0 "Nonliberalizers"

. 
. scatter lyl0 lyn0 year if year>=1960 & year<=2003, ///
>         saving(Figure4,replace) s(o +) c(l l) ytitle(Log income per worker relative to 1975
> -89 trend)
(file Figure4.gph saved)

. gr export Figure4.pdf, replace
(file /Users/amtaylor/Documents/amt/Current/Toni2004/REStatReplicationFiles/Figure4.pdf writt
> en in PDF format)

. 
. list country isocode if liberalizer~=. & year==1999

       +------------------------------+
       |            country   isocode |
       |------------------------------|
 9225. |              China       CHN |
 9233. |              India       IND |
 9240. |           Pakistan       PAK |
 9241. |        Philippines       PHL |
 9243. | Korea, Republic of       KOR |
       |------------------------------|
 9247. |               Peru       PER |
 9263. |          Argentina       ARG |
 9270. |             Mexico       MEX |
 9279. |             Taiwan       TWN |
 9284. |         Bangladesh       BGD |
       |------------------------------|
 9300. |          Venezuela       VEN |
 9309. |           Thailand       THA |
 9310. |          Sri Lanka       LKA |
 9319. |            Uruguay       URY |
 9326. |             Brazil       BRA |
       |------------------------------|
 9332. |        New Zealand       NZL |
 9342. |            Ecuador       ECU |
 9347. |          Australia       AUS |
 9350. |           Colombia       COL |
 9361. |              Chile       CHL |
       |------------------------------|
 9377. |            Bolivia       BOL |
 9380. |          Indonesia       IDN |
 9396. |              Japan       JPN |
 9400. |   Trinidad &Tobago       TTO |
       +------------------------------+

. list country isocode if nonliberalizer~=. & year==1999

       +--------------------------+
       |        country   isocode |
       |--------------------------|
 9215. |          Ghana       GHA |
 9216. |  Cote d`Ivoire       CIV |
 9232. |          Spain       ESP |
 9245. |         Canada       CAN |
 9252. |          Italy       ITA |
       |--------------------------|
 9256. |      Singapore       SGP |
 9265. |    Netherlands       NLD |
 9266. |        Denmark       DNK |
 9268. |        Iceland       ISL |
 9285. |        Morocco       MAR |
       |--------------------------|
 9291. |        Germany       DEU |
 9296. |       Malaysia       MYS |
 9298. |         Turkey       TUR |
 9304. | United Kingdom       GBR |
 9305. |         Israel       ISR |
       |--------------------------|
 9322. |        Algeria       DZA |
 9331. |         France       FRA |
 9346. |      Hong Kong       HKG |
 9360. |         Sweden       SWE |
 9384. |          Nepal       NPL |
       |--------------------------|
 9389. |  United States       USA |
 9397. |       Paraguay       PRY |
 9398. |        Finland       FIN |
 9399. |        Austria       AUT |
       +--------------------------+

. 
. 
. 
. 
. *** FIGURE 3
. 
. * use efw data
. 
. clear

. 
. use efwdata2005.dta

. rename area2ab inst

. rename area4aiidata  tariff

. 
. 
. * define developing
. gen developing = 0

. replace developing = 1 if ifscode>=199
(686 real changes made)

. replace developing = 1 if ifscode==186
(7 real changes made)

. 
. bysort year: egen t0 = mean(tariff) if developing ~=.

. bysort year: egen t1 = mean(tariff) if developing==0 & developing ~=.
(717 missing values generated)

. bysort year: egen t2 = mean(tariff) if developing==1 & developing ~=.
(168 missing values generated)

. 
. bysort year: sum tariff if developing ~=.

---------------------------------------------------------------------------------------------
-> year = 1970

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
      tariff |         1         105           .        105        105

---------------------------------------------------------------------------------------------
-> year = 1975

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
      tariff |        28      16.775    14.72628          0       55.9

---------------------------------------------------------------------------------------------
-> year = 1980

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
      tariff |        70        26.3    20.68929          0       99.9

---------------------------------------------------------------------------------------------
-> year = 1985

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
      tariff |        94    24.01489    19.11562          0       98.8

---------------------------------------------------------------------------------------------
-> year = 1990

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
      tariff |        87    20.85747    16.00777          0      102.2

---------------------------------------------------------------------------------------------
-> year = 1995

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
      tariff |        99    16.29596    12.84919          0       81.2

---------------------------------------------------------------------------------------------
-> year = 2000

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
      tariff |       111    11.34775    8.387532          0       46.6


. bysort year: sum tariff if developing==0 & developing ~=.

---------------------------------------------------------------------------------------------
-> year = 1970

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
      tariff |         0

---------------------------------------------------------------------------------------------
-> year = 1975

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
      tariff |        21    10.82381      3.1082        5.8       18.9

---------------------------------------------------------------------------------------------
-> year = 1980

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
      tariff |        22    9.190909    2.097597        4.6       14.5

---------------------------------------------------------------------------------------------
-> year = 1985

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
      tariff |        22    7.886364    2.624118        4.1         16

---------------------------------------------------------------------------------------------
-> year = 1990

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
      tariff |        23    7.608696    2.479537        3.8       14.5

---------------------------------------------------------------------------------------------
-> year = 1995

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
      tariff |        23     6.63913    1.297108        3.6       10.1

---------------------------------------------------------------------------------------------
-> year = 2000

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
      tariff |        24    2.966667    1.632461          0        8.8


. bysort year: sum tariff if developing==1 & developing ~=.

---------------------------------------------------------------------------------------------
-> year = 1970

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
      tariff |         1         105           .        105        105

---------------------------------------------------------------------------------------------
-> year = 1975

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
      tariff |         7    34.62857    21.16244          0       55.9

---------------------------------------------------------------------------------------------
-> year = 1980

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
      tariff |        48    34.14167    20.65489          0       99.9

---------------------------------------------------------------------------------------------
-> year = 1985

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
      tariff |        72    28.94306    19.27078          0       98.8

---------------------------------------------------------------------------------------------
-> year = 1990

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
      tariff |        64    25.61875    16.14128          0      102.2

---------------------------------------------------------------------------------------------
-> year = 1995

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
      tariff |        76    19.21842    13.34116          0       81.2

---------------------------------------------------------------------------------------------
-> year = 2000

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
      tariff |        87    13.65977    8.016269          0       46.6


. 
. rename t0 all

. rename t1 developed

. rename t2 LDC

. 
. graph twoway line all developed LDC year if year>1970, msymbol(x + O) saving(Figure3a,repla
> ce)
(file Figure3a.gph saved)

. gr export Figure3a.pdf, replace
(file /Users/amtaylor/Documents/amt/Current/Toni2004/REStatReplicationFiles/Figure3a.pdf writ
> ten in PDF format)

. 
. sort isocode year

. list isocode year all developed LDC if year>1970

     +-------------------------------------------------+
     | isocode   year        all   develo~d        LDC |
     |-------------------------------------------------|
  2. |     ALB   1975     16.775          .   34.62857 |
  3. |     ALB   1980       26.3          .   34.14167 |
  4. |     ALB   1985   24.01489          .   28.94306 |
  5. |     ALB   1990   20.85747          .   25.61875 |
  6. |     ALB   1995   16.29596          .   19.21842 |
     |-------------------------------------------------|
  7. |     ALB   2000   11.34775          .   13.65977 |
  9. |     ARE   1975     16.775          .   34.62857 |
 10. |     ARE   1980       26.3          .   34.14167 |
 11. |     ARE   1985   24.01489          .   28.94306 |
 12. |     ARE   1990   20.85747          .   25.61875 |
     |-------------------------------------------------|
 13. |     ARE   1995   16.29596          .   19.21842 |
 14. |     ARE   2000   11.34775          .   13.65977 |
 16. |     ARG   1975     16.775          .   34.62857 |
 17. |     ARG   1980       26.3          .   34.14167 |
 18. |     ARG   1985   24.01489          .   28.94306 |
     |-------------------------------------------------|
 19. |     ARG   1990   20.85747          .   25.61875 |
 20. |     ARG   1995   16.29596          .   19.21842 |
 21. |     ARG   2000   11.34775          .   13.65977 |
 23. |     AUS   1975     16.775   10.82381          . |
 24. |     AUS   1980       26.3   9.190909          . |
     |-------------------------------------------------|
 25. |     AUS   1985   24.01489   7.886364          . |
 26. |     AUS   1990   20.85747   7.608696          . |
 27. |     AUS   1995   16.29596    6.63913          . |
 28. |     AUS   2000   11.34775   2.966667          . |
 30. |     AUT   1975     16.775   10.82381          . |
     |-------------------------------------------------|
 31. |     AUT   1980       26.3   9.190909          . |
 32. |     AUT   1985   24.01489   7.886364          . |
 33. |     AUT   1990   20.85747   7.608696          . |
 34. |     AUT   1995   16.29596    6.63913          . |
 35. |     AUT   2000   11.34775   2.966667          . |
     |-------------------------------------------------|
 37. |     BDI   1975     16.775          .   34.62857 |
 38. |     BDI   1980       26.3          .   34.14167 |
 39. |     BDI   1985   24.01489          .   28.94306 |
 40. |     BDI   1990   20.85747          .   25.61875 |
 41. |     BDI   1995   16.29596          .   19.21842 |
     |-------------------------------------------------|
 42. |     BDI   2000   11.34775          .   13.65977 |
 44. |     BEL   1975     16.775   10.82381          . |
 45. |     BEL   1980       26.3   9.190909          . |
 46. |     BEL   1985   24.01489   7.886364          . |
 47. |     BEL   1990   20.85747   7.608696          . |
     |-------------------------------------------------|
 48. |     BEL   1995   16.29596    6.63913          . |
 49. |     BEL   2000   11.34775   2.966667          . |
 51. |     BEN   1975     16.775          .   34.62857 |
 52. |     BEN   1980       26.3          .   34.14167 |
 53. |     BEN   1985   24.01489          .   28.94306 |
     |-------------------------------------------------|
 54. |     BEN   1990   20.85747          .   25.61875 |
 55. |     BEN   1995   16.29596          .   19.21842 |
 56. |     BEN   2000   11.34775          .   13.65977 |
 58. |     BGD   1975     16.775          .   34.62857 |
 59. |     BGD   1980       26.3          .   34.14167 |
     |-------------------------------------------------|
 60. |     BGD   1985   24.01489          .   28.94306 |
 61. |     BGD   1990   20.85747          .   25.61875 |
 62. |     BGD   1995   16.29596          .   19.21842 |
 63. |     BGD   2000   11.34775          .   13.65977 |
 65. |     BGR   1975     16.775          .   34.62857 |
     |-------------------------------------------------|
 66. |     BGR   1980       26.3          .   34.14167 |
 67. |     BGR   1985   24.01489          .   28.94306 |
 68. |     BGR   1990   20.85747          .   25.61875 |
 69. |     BGR   1995   16.29596          .   19.21842 |
 70. |     BGR   2000   11.34775          .   13.65977 |
     |-------------------------------------------------|
 72. |     BHR   1975     16.775          .   34.62857 |
 73. |     BHR   1980       26.3          .   34.14167 |
 74. |     BHR   1985   24.01489          .   28.94306 |
 75. |     BHR   1990   20.85747          .   25.61875 |
 76. |     BHR   1995   16.29596          .   19.21842 |
     |-------------------------------------------------|
 77. |     BHR   2000   11.34775          .   13.65977 |
 79. |     BHS   1975     16.775          .   34.62857 |
 80. |     BHS   1980       26.3          .   34.14167 |
 81. |     BHS   1985   24.01489          .   28.94306 |
 82. |     BHS   1990   20.85747          .   25.61875 |
     |-------------------------------------------------|
 83. |     BHS   1995   16.29596          .   19.21842 |
 84. |     BHS   2000   11.34775          .   13.65977 |
 86. |     BLZ   1975     16.775          .   34.62857 |
 87. |     BLZ   1980       26.3          .   34.14167 |
 88. |     BLZ   1985   24.01489          .   28.94306 |
     |-------------------------------------------------|
 89. |     BLZ   1990   20.85747          .   25.61875 |
 90. |     BLZ   1995   16.29596          .   19.21842 |
 91. |     BLZ   2000   11.34775          .   13.65977 |
 93. |     BOL   1975     16.775          .   34.62857 |
 94. |     BOL   1980       26.3          .   34.14167 |
     |-------------------------------------------------|
 95. |     BOL   1985   24.01489          .   28.94306 |
 96. |     BOL   1990   20.85747          .   25.61875 |
 97. |     BOL   1995   16.29596          .   19.21842 |
 98. |     BOL   2000   11.34775          .   13.65977 |
100. |     BRA   1975     16.775          .   34.62857 |
     |-------------------------------------------------|
101. |     BRA   1980       26.3          .   34.14167 |
102. |     BRA   1985   24.01489          .   28.94306 |
103. |     BRA   1990   20.85747          .   25.61875 |
104. |     BRA   1995   16.29596          .   19.21842 |
105. |     BRA   2000   11.34775          .   13.65977 |
     |-------------------------------------------------|
107. |     BRB   1975     16.775          .   34.62857 |
108. |     BRB   1980       26.3          .   34.14167 |
109. |     BRB   1985   24.01489          .   28.94306 |
110. |     BRB   1990   20.85747          .   25.61875 |
111. |     BRB   1995   16.29596          .   19.21842 |
     |-------------------------------------------------|
112. |     BRB   2000   11.34775          .   13.65977 |
114. |     BWA   1975     16.775          .   34.62857 |
115. |     BWA   1980       26.3          .   34.14167 |
116. |     BWA   1985   24.01489          .   28.94306 |
117. |     BWA   1990   20.85747          .   25.61875 |
     |-------------------------------------------------|
118. |     BWA   1995   16.29596          .   19.21842 |
119. |     BWA   2000   11.34775          .   13.65977 |
121. |     CAF   1975     16.775          .   34.62857 |
122. |     CAF   1980       26.3          .   34.14167 |
123. |     CAF   1985   24.01489          .   28.94306 |
     |-------------------------------------------------|
124. |     CAF   1990   20.85747          .   25.61875 |
125. |     CAF   1995   16.29596          .   19.21842 |
126. |     CAF   2000   11.34775          .   13.65977 |
128. |     CAN   1975     16.775   10.82381          . |
129. |     CAN   1980       26.3   9.190909          . |
     |-------------------------------------------------|
130. |     CAN   1985   24.01489   7.886364          . |
131. |     CAN   1990   20.85747   7.608696          . |
132. |     CAN   1995   16.29596    6.63913          . |
133. |     CAN   2000   11.34775   2.966667          . |
135. |     CHE   1975     16.775   10.82381          . |
     |-------------------------------------------------|
136. |     CHE   1980       26.3   9.190909          . |
137. |     CHE   1985   24.01489   7.886364          . |
138. |     CHE   1990   20.85747   7.608696          . |
139. |     CHE   1995   16.29596    6.63913          . |
140. |     CHE   2000   11.34775   2.966667          . |
     |-------------------------------------------------|
142. |     CHL   1975     16.775          .   34.62857 |
143. |     CHL   1980       26.3          .   34.14167 |
144. |     CHL   1985   24.01489          .   28.94306 |
145. |     CHL   1990   20.85747          .   25.61875 |
146. |     CHL   1995   16.29596          .   19.21842 |
     |-------------------------------------------------|
147. |     CHL   2000   11.34775          .   13.65977 |
149. |     CHN   1975     16.775          .   34.62857 |
150. |     CHN   1980       26.3          .   34.14167 |
151. |     CHN   1985   24.01489          .   28.94306 |
152. |     CHN   1990   20.85747          .   25.61875 |
     |-------------------------------------------------|
153. |     CHN   1995   16.29596          .   19.21842 |
154. |     CHN   2000   11.34775          .   13.65977 |
156. |     CIV   1975     16.775          .   34.62857 |
157. |     CIV   1980       26.3          .   34.14167 |
158. |     CIV   1985   24.01489          .   28.94306 |
     |-------------------------------------------------|
159. |     CIV   1990   20.85747          .   25.61875 |
160. |     CIV   1995   16.29596          .   19.21842 |
161. |     CIV   2000   11.34775          .   13.65977 |
163. |     CMR   1975     16.775          .   34.62857 |
164. |     CMR   1980       26.3          .   34.14167 |
     |-------------------------------------------------|
165. |     CMR   1985   24.01489          .   28.94306 |
166. |     CMR   1990   20.85747          .   25.61875 |
167. |     CMR   1995   16.29596          .   19.21842 |
168. |     CMR   2000   11.34775          .   13.65977 |
170. |     COD   1975     16.775          .   34.62857 |
     |-------------------------------------------------|
171. |     COD   1980       26.3          .   34.14167 |
172. |     COD   1985   24.01489          .   28.94306 |
173. |     COD   1990   20.85747          .   25.61875 |
174. |     COD   1995   16.29596          .   19.21842 |
175. |     COD   2000   11.34775          .   13.65977 |
     |-------------------------------------------------|
177. |     COG   1975     16.775          .   34.62857 |
178. |     COG   1980       26.3          .   34.14167 |
179. |     COG   1985   24.01489          .   28.94306 |
180. |     COG   1990   20.85747          .   25.61875 |
181. |     COG   1995   16.29596          .   19.21842 |
     |-------------------------------------------------|
182. |     COG   2000   11.34775          .   13.65977 |
184. |     COL   1975     16.775          .   34.62857 |
185. |     COL   1980       26.3          .   34.14167 |
186. |     COL   1985   24.01489          .   28.94306 |
187. |     COL   1990   20.85747          .   25.61875 |
     |-------------------------------------------------|
188. |     COL   1995   16.29596          .   19.21842 |
189. |     COL   2000   11.34775          .   13.65977 |
191. |     CRI   1975     16.775          .   34.62857 |
192. |     CRI   1980       26.3          .   34.14167 |
193. |     CRI   1985   24.01489          .   28.94306 |
     |-------------------------------------------------|
194. |     CRI   1990   20.85747          .   25.61875 |
195. |     CRI   1995   16.29596          .   19.21842 |
196. |     CRI   2000   11.34775          .   13.65977 |
198. |     CYP   1975     16.775          .   34.62857 |
199. |     CYP   1980       26.3          .   34.14167 |
     |-------------------------------------------------|
200. |     CYP   1985   24.01489          .   28.94306 |
201. |     CYP   1990   20.85747          .   25.61875 |
202. |     CYP   1995   16.29596          .   19.21842 |
203. |     CYP   2000   11.34775          .   13.65977 |
205. |     CZE   1975     16.775          .   34.62857 |
     |-------------------------------------------------|
206. |     CZE   1980       26.3          .   34.14167 |
207. |     CZE   1985   24.01489          .   28.94306 |
208. |     CZE   1990   20.85747          .   25.61875 |
209. |     CZE   1995   16.29596          .   19.21842 |
210. |     CZE   2000   11.34775          .   13.65977 |
     |-------------------------------------------------|
212. |     DEU   1975     16.775   10.82381          . |
213. |     DEU   1980       26.3   9.190909          . |
214. |     DEU   1985   24.01489   7.886364          . |
215. |     DEU   1990   20.85747   7.608696          . |
216. |     DEU   1995   16.29596    6.63913          . |
     |-------------------------------------------------|
217. |     DEU   2000   11.34775   2.966667          . |
219. |     DNK   1975     16.775   10.82381          . |
220. |     DNK   1980       26.3   9.190909          . |
221. |     DNK   1985   24.01489   7.886364          . |
222. |     DNK   1990   20.85747   7.608696          . |
     |-------------------------------------------------|
223. |     DNK   1995   16.29596    6.63913          . |
224. |     DNK   2000   11.34775   2.966667          . |
226. |     DOM   1975     16.775          .   34.62857 |
227. |     DOM   1980       26.3          .   34.14167 |
228. |     DOM   1985   24.01489          .   28.94306 |
     |-------------------------------------------------|
229. |     DOM   1990   20.85747          .   25.61875 |
230. |     DOM   1995   16.29596          .   19.21842 |
231. |     DOM   2000   11.34775          .   13.65977 |
233. |     DZA   1975     16.775          .   34.62857 |
234. |     DZA   1980       26.3          .   34.14167 |
     |-------------------------------------------------|
235. |     DZA   1985   24.01489          .   28.94306 |
236. |     DZA   1990   20.85747          .   25.61875 |
237. |     DZA   1995   16.29596          .   19.21842 |
238. |     DZA   2000   11.34775          .   13.65977 |
240. |     ECU   1975     16.775          .   34.62857 |
     |-------------------------------------------------|
241. |     ECU   1980       26.3          .   34.14167 |
242. |     ECU   1985   24.01489          .   28.94306 |
243. |     ECU   1990   20.85747          .   25.61875 |
244. |     ECU   1995   16.29596          .   19.21842 |
245. |     ECU   2000   11.34775          .   13.65977 |
     |-------------------------------------------------|
247. |     EGY   1975     16.775          .   34.62857 |
248. |     EGY   1980       26.3          .   34.14167 |
249. |     EGY   1985   24.01489          .   28.94306 |
250. |     EGY   1990   20.85747          .   25.61875 |
251. |     EGY   1995   16.29596          .   19.21842 |
     |-------------------------------------------------|
252. |     EGY   2000   11.34775          .   13.65977 |
254. |     ESP   1975     16.775   10.82381          . |
255. |     ESP   1980       26.3   9.190909          . |
256. |     ESP   1985   24.01489   7.886364          . |
257. |     ESP   1990   20.85747   7.608696          . |
     |-------------------------------------------------|
258. |     ESP   1995   16.29596    6.63913          . |
259. |     ESP   2000   11.34775   2.966667          . |
261. |     EST   1975     16.775          .   34.62857 |
262. |     EST   1980       26.3          .   34.14167 |
263. |     EST   1985   24.01489          .   28.94306 |
     |-------------------------------------------------|
264. |     EST   1990   20.85747          .   25.61875 |
265. |     EST   1995   16.29596          .   19.21842 |
266. |     EST   2000   11.34775          .   13.65977 |
268. |     FIN   1975     16.775   10.82381          . |
269. |     FIN   1980       26.3   9.190909          . |
     |-------------------------------------------------|
270. |     FIN   1985   24.01489   7.886364          . |
271. |     FIN   1990   20.85747   7.608696          . |
272. |     FIN   1995   16.29596    6.63913          . |
273. |     FIN   2000   11.34775   2.966667          . |
275. |     FJI   1975     16.775          .   34.62857 |
     |-------------------------------------------------|
276. |     FJI   1980       26.3          .   34.14167 |
277. |     FJI   1985   24.01489          .   28.94306 |
278. |     FJI   1990   20.85747          .   25.61875 |
279. |     FJI   1995   16.29596          .   19.21842 |
280. |     FJI   2000   11.34775          .   13.65977 |
     |-------------------------------------------------|
282. |     FRA   1975     16.775   10.82381          . |
283. |     FRA   1980       26.3   9.190909          . |
284. |     FRA   1985   24.01489   7.886364          . |
285. |     FRA   1990   20.85747   7.608696          . |
286. |     FRA   1995   16.29596    6.63913          . |
     |-------------------------------------------------|
287. |     FRA   2000   11.34775   2.966667          . |
289. |     GAB   1975     16.775          .   34.62857 |
290. |     GAB   1980       26.3          .   34.14167 |
291. |     GAB   1985   24.01489          .   28.94306 |
292. |     GAB   1990   20.85747          .   25.61875 |
     |-------------------------------------------------|
293. |     GAB   1995   16.29596          .   19.21842 |
294. |     GAB   2000   11.34775          .   13.65977 |
296. |     GBR   1975     16.775   10.82381          . |
297. |     GBR   1980       26.3   9.190909          . |
298. |     GBR   1985   24.01489   7.886364          . |
     |-------------------------------------------------|
299. |     GBR   1990   20.85747   7.608696          . |
300. |     GBR   1995   16.29596    6.63913          . |
301. |     GBR   2000   11.34775   2.966667          . |
303. |     GHA   1975     16.775          .   34.62857 |
304. |     GHA   1980       26.3          .   34.14167 |
     |-------------------------------------------------|
305. |     GHA   1985   24.01489          .   28.94306 |
306. |     GHA   1990   20.85747          .   25.61875 |
307. |     GHA   1995   16.29596          .   19.21842 |
308. |     GHA   2000   11.34775          .   13.65977 |
310. |     GNB   1975     16.775          .   34.62857 |
     |-------------------------------------------------|
311. |     GNB   1980       26.3          .   34.14167 |
312. |     GNB   1985   24.01489          .   28.94306 |
313. |     GNB   1990   20.85747          .   25.61875 |
314. |     GNB   1995   16.29596          .   19.21842 |
315. |     GNB   2000   11.34775          .   13.65977 |
     |-------------------------------------------------|
317. |     GRC   1975     16.775   10.82381          . |
318. |     GRC   1980       26.3   9.190909          . |
319. |     GRC   1985   24.01489   7.886364          . |
320. |     GRC   1990   20.85747   7.608696          . |
321. |     GRC   1995   16.29596    6.63913          . |
     |-------------------------------------------------|
322. |     GRC   2000   11.34775   2.966667          . |
324. |     GTM   1975     16.775          .   34.62857 |
325. |     GTM   1980       26.3          .   34.14167 |
326. |     GTM   1985   24.01489          .   28.94306 |
327. |     GTM   1990   20.85747          .   25.61875 |
     |-------------------------------------------------|
328. |     GTM   1995   16.29596          .   19.21842 |
329. |     GTM   2000   11.34775          .   13.65977 |
331. |     GUY   1975     16.775          .   34.62857 |
332. |     GUY   1980       26.3          .   34.14167 |
333. |     GUY   1985   24.01489          .   28.94306 |
     |-------------------------------------------------|
334. |     GUY   1990   20.85747          .   25.61875 |
335. |     GUY   1995   16.29596          .   19.21842 |
336. |     GUY   2000   11.34775          .   13.65977 |
338. |     HKG   1975     16.775          .   34.62857 |
339. |     HKG   1980       26.3          .   34.14167 |
     |-------------------------------------------------|
340. |     HKG   1985   24.01489          .   28.94306 |
341. |     HKG   1990   20.85747          .   25.61875 |
342. |     HKG   1995   16.29596          .   19.21842 |
343. |     HKG   2000   11.34775          .   13.65977 |
345. |     HND   1975     16.775          .   34.62857 |
     |-------------------------------------------------|
346. |     HND   1980       26.3          .   34.14167 |
347. |     HND   1985   24.01489          .   28.94306 |
348. |     HND   1990   20.85747          .   25.61875 |
349. |     HND   1995   16.29596          .   19.21842 |
350. |     HND   2000   11.34775          .   13.65977 |
     |-------------------------------------------------|
352. |     HRV   1975     16.775          .   34.62857 |
353. |     HRV   1980       26.3          .   34.14167 |
354. |     HRV   1985   24.01489          .   28.94306 |
355. |     HRV   1990   20.85747          .   25.61875 |
356. |     HRV   1995   16.29596          .   19.21842 |
     |-------------------------------------------------|
357. |     HRV   2000   11.34775          .   13.65977 |
359. |     HTI   1975     16.775          .   34.62857 |
360. |     HTI   1980       26.3          .   34.14167 |
361. |     HTI   1985   24.01489          .   28.94306 |
362. |     HTI   1990   20.85747          .   25.61875 |
     |-------------------------------------------------|
363. |     HTI   1995   16.29596          .   19.21842 |
364. |     HTI   2000   11.34775          .   13.65977 |
366. |     HUN   1975     16.775          .   34.62857 |
367. |     HUN   1980       26.3          .   34.14167 |
368. |     HUN   1985   24.01489          .   28.94306 |
     |-------------------------------------------------|
369. |     HUN   1990   20.85747          .   25.61875 |
370. |     HUN   1995   16.29596          .   19.21842 |
371. |     HUN   2000   11.34775          .   13.65977 |
373. |     IDN   1975     16.775          .   34.62857 |
374. |     IDN   1980       26.3          .   34.14167 |
     |-------------------------------------------------|
375. |     IDN   1985   24.01489          .   28.94306 |
376. |     IDN   1990   20.85747          .   25.61875 |
377. |     IDN   1995   16.29596          .   19.21842 |
378. |     IDN   2000   11.34775          .   13.65977 |
380. |     IND   1975     16.775          .   34.62857 |
     |-------------------------------------------------|
381. |     IND   1980       26.3          .   34.14167 |
382. |     IND   1985   24.01489          .   28.94306 |
383. |     IND   1990   20.85747          .   25.61875 |
384. |     IND   1995   16.29596          .   19.21842 |
385. |     IND   2000   11.34775          .   13.65977 |
     |-------------------------------------------------|
387. |     IRL   1975     16.775   10.82381          . |
388. |     IRL   1980       26.3   9.190909          . |
389. |     IRL   1985   24.01489   7.886364          . |
390. |     IRL   1990   20.85747   7.608696          . |
391. |     IRL   1995   16.29596    6.63913          . |
     |-------------------------------------------------|
392. |     IRL   2000   11.34775   2.966667          . |
394. |     IRN   1975     16.775          .   34.62857 |
395. |     IRN   1980       26.3          .   34.14167 |
396. |     IRN   1985   24.01489          .   28.94306 |
397. |     IRN   1990   20.85747          .   25.61875 |
     |-------------------------------------------------|
398. |     IRN   1995   16.29596          .   19.21842 |
399. |     IRN   2000   11.34775          .   13.65977 |
401. |     ISL   1975     16.775   10.82381          . |
402. |     ISL   1980       26.3   9.190909          . |
403. |     ISL   1985   24.01489   7.886364          . |
     |-------------------------------------------------|
404. |     ISL   1990   20.85747   7.608696          . |
405. |     ISL   1995   16.29596    6.63913          . |
406. |     ISL   2000   11.34775   2.966667          . |
408. |     ISR   1975     16.775          .   34.62857 |
409. |     ISR   1980       26.3          .   34.14167 |
     |-------------------------------------------------|
410. |     ISR   1985   24.01489          .   28.94306 |
411. |     ISR   1990   20.85747          .   25.61875 |
412. |     ISR   1995   16.29596          .   19.21842 |
413. |     ISR   2000   11.34775          .   13.65977 |
415. |     ITA   1975     16.775   10.82381          . |
     |-------------------------------------------------|
416. |     ITA   1980       26.3   9.190909          . |
417. |     ITA   1985   24.01489   7.886364          . |
418. |     ITA   1990   20.85747   7.608696          . |
419. |     ITA   1995   16.29596    6.63913          . |
420. |     ITA   2000   11.34775   2.966667          . |
     |-------------------------------------------------|
422. |     JAM   1975     16.775          .   34.62857 |
423. |     JAM   1980       26.3          .   34.14167 |
424. |     JAM   1985   24.01489          .   28.94306 |
425. |     JAM   1990   20.85747          .   25.61875 |
426. |     JAM   1995   16.29596          .   19.21842 |
     |-------------------------------------------------|
427. |     JAM   2000   11.34775          .   13.65977 |
429. |     JOR   1975     16.775          .   34.62857 |
430. |     JOR   1980       26.3          .   34.14167 |
431. |     JOR   1985   24.01489          .   28.94306 |
432. |     JOR   1990   20.85747          .   25.61875 |
     |-------------------------------------------------|
433. |     JOR   1995   16.29596          .   19.21842 |
434. |     JOR   2000   11.34775          .   13.65977 |
436. |     JPN   1975     16.775   10.82381          . |
437. |     JPN   1980       26.3   9.190909          . |
438. |     JPN   1985   24.01489   7.886364          . |
     |-------------------------------------------------|
439. |     JPN   1990   20.85747   7.608696          . |
440. |     JPN   1995   16.29596    6.63913          . |
441. |     JPN   2000   11.34775   2.966667          . |
443. |     KEN   1975     16.775          .   34.62857 |
444. |     KEN   1980       26.3          .   34.14167 |
     |-------------------------------------------------|
445. |     KEN   1985   24.01489          .   28.94306 |
446. |     KEN   1990   20.85747          .   25.61875 |
447. |     KEN   1995   16.29596          .   19.21842 |
448. |     KEN   2000   11.34775          .   13.65977 |
450. |     KOR   1975     16.775          .   34.62857 |
     |-------------------------------------------------|
451. |     KOR   1980       26.3          .   34.14167 |
452. |     KOR   1985   24.01489          .   28.94306 |
453. |     KOR   1990   20.85747          .   25.61875 |
454. |     KOR   1995   16.29596          .   19.21842 |
455. |     KOR   2000   11.34775          .   13.65977 |
     |-------------------------------------------------|
457. |     KWT   1975     16.775          .   34.62857 |
458. |     KWT   1980       26.3          .   34.14167 |
459. |     KWT   1985   24.01489          .   28.94306 |
460. |     KWT   1990   20.85747          .   25.61875 |
461. |     KWT   1995   16.29596          .   19.21842 |
     |-------------------------------------------------|
462. |     KWT   2000   11.34775          .   13.65977 |
464. |     LKA   1975     16.775          .   34.62857 |
465. |     LKA   1980       26.3          .   34.14167 |
466. |     LKA   1985   24.01489          .   28.94306 |
467. |     LKA   1990   20.85747          .   25.61875 |
     |-------------------------------------------------|
468. |     LKA   1995   16.29596          .   19.21842 |
469. |     LKA   2000   11.34775          .   13.65977 |
471. |     LTU   1975     16.775          .   34.62857 |
472. |     LTU   1980       26.3          .   34.14167 |
473. |     LTU   1985   24.01489          .   28.94306 |
     |-------------------------------------------------|
474. |     LTU   1990   20.85747          .   25.61875 |
475. |     LTU   1995   16.29596          .   19.21842 |
476. |     LTU   2000   11.34775          .   13.65977 |
478. |     LUX   1975     16.775   10.82381          . |
479. |     LUX   1980       26.3   9.190909          . |
     |-------------------------------------------------|
480. |     LUX   1985   24.01489   7.886364          . |
481. |     LUX   1990   20.85747   7.608696          . |
482. |     LUX   1995   16.29596    6.63913          . |
483. |     LUX   2000   11.34775   2.966667          . |
485. |     LVA   1975     16.775          .   34.62857 |
     |-------------------------------------------------|
486. |     LVA   1980       26.3          .   34.14167 |
487. |     LVA   1985   24.01489          .   28.94306 |
488. |     LVA   1990   20.85747          .   25.61875 |
489. |     LVA   1995   16.29596          .   19.21842 |
490. |     LVA   2000   11.34775          .   13.65977 |
     |-------------------------------------------------|
492. |     MAR   1975     16.775          .   34.62857 |
493. |     MAR   1980       26.3          .   34.14167 |
494. |     MAR   1985   24.01489          .   28.94306 |
495. |     MAR   1990   20.85747          .   25.61875 |
496. |     MAR   1995   16.29596          .   19.21842 |
     |-------------------------------------------------|
497. |     MAR   2000   11.34775          .   13.65977 |
499. |     MDG   1975     16.775          .   34.62857 |
500. |     MDG   1980       26.3          .   34.14167 |
501. |     MDG   1985   24.01489          .   28.94306 |
502. |     MDG   1990   20.85747          .   25.61875 |
     |-------------------------------------------------|
503. |     MDG   1995   16.29596          .   19.21842 |
504. |     MDG   2000   11.34775          .   13.65977 |
506. |     MEX   1975     16.775          .   34.62857 |
507. |     MEX   1980       26.3          .   34.14167 |
508. |     MEX   1985   24.01489          .   28.94306 |
     |-------------------------------------------------|
509. |     MEX   1990   20.85747          .   25.61875 |
510. |     MEX   1995   16.29596          .   19.21842 |
511. |     MEX   2000   11.34775          .   13.65977 |
513. |     MLI   1975     16.775          .   34.62857 |
514. |     MLI   1980       26.3          .   34.14167 |
     |-------------------------------------------------|
515. |     MLI   1985   24.01489          .   28.94306 |
516. |     MLI   1990   20.85747          .   25.61875 |
517. |     MLI   1995   16.29596          .   19.21842 |
518. |     MLI   2000   11.34775          .   13.65977 |
520. |     MLT   1975     16.775   10.82381          . |
     |-------------------------------------------------|
521. |     MLT   1980       26.3   9.190909          . |
522. |     MLT   1985   24.01489   7.886364          . |
523. |     MLT   1990   20.85747   7.608696          . |
524. |     MLT   1995   16.29596    6.63913          . |
525. |     MLT   2000   11.34775   2.966667          . |
     |-------------------------------------------------|
527. |     MMR   1975     16.775          .   34.62857 |
528. |     MMR   1980       26.3          .   34.14167 |
529. |     MMR   1985   24.01489          .   28.94306 |
530. |     MMR   1990   20.85747          .   25.61875 |
531. |     MMR   1995   16.29596          .   19.21842 |
     |-------------------------------------------------|
532. |     MMR   2000   11.34775          .   13.65977 |
534. |     MUS   1975     16.775          .   34.62857 |
535. |     MUS   1980       26.3          .   34.14167 |
536. |     MUS   1985   24.01489          .   28.94306 |
537. |     MUS   1990   20.85747          .   25.61875 |
     |-------------------------------------------------|
538. |     MUS   1995   16.29596          .   19.21842 |
539. |     MUS   2000   11.34775          .   13.65977 |
541. |     MWI   1975     16.775          .   34.62857 |
542. |     MWI   1980       26.3          .   34.14167 |
543. |     MWI   1985   24.01489          .   28.94306 |
     |-------------------------------------------------|
544. |     MWI   1990   20.85747          .   25.61875 |
545. |     MWI   1995   16.29596          .   19.21842 |
546. |     MWI   2000   11.34775          .   13.65977 |
548. |     MYS   1975     16.775          .   34.62857 |
549. |     MYS   1980       26.3          .   34.14167 |
     |-------------------------------------------------|
550. |     MYS   1985   24.01489          .   28.94306 |
551. |     MYS   1990   20.85747          .   25.61875 |
552. |     MYS   1995   16.29596          .   19.21842 |
553. |     MYS   2000   11.34775          .   13.65977 |
555. |     NAM   1975     16.775          .   34.62857 |
     |-------------------------------------------------|
556. |     NAM   1980       26.3          .   34.14167 |
557. |     NAM   1985   24.01489          .   28.94306 |
558. |     NAM   1990   20.85747          .   25.61875 |
559. |     NAM   1995   16.29596          .   19.21842 |
560. |     NAM   2000   11.34775          .   13.65977 |
     |-------------------------------------------------|
562. |     NER   1975     16.775          .   34.62857 |
563. |     NER   1980       26.3          .   34.14167 |
564. |     NER   1985   24.01489          .   28.94306 |
565. |     NER   1990   20.85747          .   25.61875 |
566. |     NER   1995   16.29596          .   19.21842 |
     |-------------------------------------------------|
567. |     NER   2000   11.34775          .   13.65977 |
569. |     NGA   1975     16.775          .   34.62857 |
570. |     NGA   1980       26.3          .   34.14167 |
571. |     NGA   1985   24.01489          .   28.94306 |
572. |     NGA   1990   20.85747          .   25.61875 |
     |-------------------------------------------------|
573. |     NGA   1995   16.29596          .   19.21842 |
574. |     NGA   2000   11.34775          .   13.65977 |
576. |     NIC   1975     16.775          .   34.62857 |
577. |     NIC   1980       26.3          .   34.14167 |
578. |     NIC   1985   24.01489          .   28.94306 |
     |-------------------------------------------------|
579. |     NIC   1990   20.85747          .   25.61875 |
580. |     NIC   1995   16.29596          .   19.21842 |
581. |     NIC   2000   11.34775          .   13.65977 |
583. |     NLD   1975     16.775   10.82381          . |
584. |     NLD   1980       26.3   9.190909          . |
     |-------------------------------------------------|
585. |     NLD   1985   24.01489   7.886364          . |
586. |     NLD   1990   20.85747   7.608696          . |
587. |     NLD   1995   16.29596    6.63913          . |
588. |     NLD   2000   11.34775   2.966667          . |
590. |     NOR   1975     16.775   10.82381          . |
     |-------------------------------------------------|
591. |     NOR   1980       26.3   9.190909          . |
592. |     NOR   1985   24.01489   7.886364          . |
593. |     NOR   1990   20.85747   7.608696          . |
594. |     NOR   1995   16.29596    6.63913          . |
595. |     NOR   2000   11.34775   2.966667          . |
     |-------------------------------------------------|
597. |     NPL   1975     16.775          .   34.62857 |
598. |     NPL   1980       26.3          .   34.14167 |
599. |     NPL   1985   24.01489          .   28.94306 |
600. |     NPL   1990   20.85747          .   25.61875 |
601. |     NPL   1995   16.29596          .   19.21842 |
     |-------------------------------------------------|
602. |     NPL   2000   11.34775          .   13.65977 |
604. |     NZL   1975     16.775   10.82381          . |
605. |     NZL   1980       26.3   9.190909          . |
606. |     NZL   1985   24.01489   7.886364          . |
607. |     NZL   1990   20.85747   7.608696          . |
     |-------------------------------------------------|
608. |     NZL   1995   16.29596    6.63913          . |
609. |     NZL   2000   11.34775   2.966667          . |
611. |     OMN   1975     16.775          .   34.62857 |
612. |     OMN   1980       26.3          .   34.14167 |
613. |     OMN   1985   24.01489          .   28.94306 |
     |-------------------------------------------------|
614. |     OMN   1990   20.85747          .   25.61875 |
615. |     OMN   1995   16.29596          .   19.21842 |
616. |     OMN   2000   11.34775          .   13.65977 |
618. |     PAK   1975     16.775          .   34.62857 |
619. |     PAK   1980       26.3          .   34.14167 |
     |-------------------------------------------------|
620. |     PAK   1985   24.01489          .   28.94306 |
621. |     PAK   1990   20.85747          .   25.61875 |
622. |     PAK   1995   16.29596          .   19.21842 |
623. |     PAK   2000   11.34775          .   13.65977 |
625. |     PAN   1975     16.775          .   34.62857 |
     |-------------------------------------------------|
626. |     PAN   1980       26.3          .   34.14167 |
627. |     PAN   1985   24.01489          .   28.94306 |
628. |     PAN   1990   20.85747          .   25.61875 |
629. |     PAN   1995   16.29596          .   19.21842 |
630. |     PAN   2000   11.34775          .   13.65977 |
     |-------------------------------------------------|
632. |     PER   1975     16.775          .   34.62857 |
633. |     PER   1980       26.3          .   34.14167 |
634. |     PER   1985   24.01489          .   28.94306 |
635. |     PER   1990   20.85747          .   25.61875 |
636. |     PER   1995   16.29596          .   19.21842 |
     |-------------------------------------------------|
637. |     PER   2000   11.34775          .   13.65977 |
639. |     PHL   1975     16.775          .   34.62857 |
640. |     PHL   1980       26.3          .   34.14167 |
641. |     PHL   1985   24.01489          .   28.94306 |
642. |     PHL   1990   20.85747          .   25.61875 |
     |-------------------------------------------------|
643. |     PHL   1995   16.29596          .   19.21842 |
644. |     PHL   2000   11.34775          .   13.65977 |
646. |     PNG   1975     16.775          .   34.62857 |
647. |     PNG   1980       26.3          .   34.14167 |
648. |     PNG   1985   24.01489          .   28.94306 |
     |-------------------------------------------------|
649. |     PNG   1990   20.85747          .   25.61875 |
650. |     PNG   1995   16.29596          .   19.21842 |
651. |     PNG   2000   11.34775          .   13.65977 |
653. |     POL   1975     16.775          .   34.62857 |
654. |     POL   1980       26.3          .   34.14167 |
     |-------------------------------------------------|
655. |     POL   1985   24.01489          .   28.94306 |
656. |     POL   1990   20.85747          .   25.61875 |
657. |     POL   1995   16.29596          .   19.21842 |
658. |     POL   2000   11.34775          .   13.65977 |
660. |     PRT   1975     16.775   10.82381          . |
     |-------------------------------------------------|
661. |     PRT   1980       26.3   9.190909          . |
662. |     PRT   1985   24.01489   7.886364          . |
663. |     PRT   1990   20.85747   7.608696          . |
664. |     PRT   1995   16.29596    6.63913          . |
665. |     PRT   2000   11.34775   2.966667          . |
     |-------------------------------------------------|
667. |     PRY   1975     16.775          .   34.62857 |
668. |     PRY   1980       26.3          .   34.14167 |
669. |     PRY   1985   24.01489          .   28.94306 |
670. |     PRY   1990   20.85747          .   25.61875 |
671. |     PRY   1995   16.29596          .   19.21842 |
     |-------------------------------------------------|
672. |     PRY   2000   11.34775          .   13.65977 |
674. |     ROU   1975     16.775          .   34.62857 |
675. |     ROU   1980       26.3          .   34.14167 |
676. |     ROU   1985   24.01489          .   28.94306 |
677. |     ROU   1990   20.85747          .   25.61875 |
     |-------------------------------------------------|
678. |     ROU   1995   16.29596          .   19.21842 |
679. |     ROU   2000   11.34775          .   13.65977 |
681. |     RUS   1975     16.775          .   34.62857 |
682. |     RUS   1980       26.3          .   34.14167 |
683. |     RUS   1985   24.01489          .   28.94306 |
     |-------------------------------------------------|
684. |     RUS   1990   20.85747          .   25.61875 |
685. |     RUS   1995   16.29596          .   19.21842 |
686. |     RUS   2000   11.34775          .   13.65977 |
688. |     RWA   1975     16.775          .   34.62857 |
689. |     RWA   1980       26.3          .   34.14167 |
     |-------------------------------------------------|
690. |     RWA   1985   24.01489          .   28.94306 |
691. |     RWA   1990   20.85747          .   25.61875 |
692. |     RWA   1995   16.29596          .   19.21842 |
693. |     RWA   2000   11.34775          .   13.65977 |
695. |     SEN   1975     16.775          .   34.62857 |
     |-------------------------------------------------|
696. |     SEN   1980       26.3          .   34.14167 |
697. |     SEN   1985   24.01489          .   28.94306 |
698. |     SEN   1990   20.85747          .   25.61875 |
699. |     SEN   1995   16.29596          .   19.21842 |
700. |     SEN   2000   11.34775          .   13.65977 |
     |-------------------------------------------------|
702. |     SGP   1975     16.775          .   34.62857 |
703. |     SGP   1980       26.3          .   34.14167 |
704. |     SGP   1985   24.01489          .   28.94306 |
705. |     SGP   1990   20.85747          .   25.61875 |
706. |     SGP   1995   16.29596          .   19.21842 |
     |-------------------------------------------------|
707. |     SGP   2000   11.34775          .   13.65977 |
709. |     SLE   1975     16.775          .   34.62857 |
710. |     SLE   1980       26.3          .   34.14167 |
711. |     SLE   1985   24.01489          .   28.94306 |
712. |     SLE   1990   20.85747          .   25.61875 |
     |-------------------------------------------------|
713. |     SLE   1995   16.29596          .   19.21842 |
714. |     SLE   2000   11.34775          .   13.65977 |
716. |     SLV   1975     16.775          .   34.62857 |
717. |     SLV   1980       26.3          .   34.14167 |
718. |     SLV   1985   24.01489          .   28.94306 |
     |-------------------------------------------------|
719. |     SLV   1990   20.85747          .   25.61875 |
720. |     SLV   1995   16.29596          .   19.21842 |
721. |     SLV   2000   11.34775          .   13.65977 |
723. |     SVK   1975     16.775          .   34.62857 |
724. |     SVK   1980       26.3          .   34.14167 |
     |-------------------------------------------------|
725. |     SVK   1985   24.01489          .   28.94306 |
726. |     SVK   1990   20.85747          .   25.61875 |
727. |     SVK   1995   16.29596          .   19.21842 |
728. |     SVK   2000   11.34775          .   13.65977 |
730. |     SVN   1975     16.775          .   34.62857 |
     |-------------------------------------------------|
731. |     SVN   1980       26.3          .   34.14167 |
732. |     SVN   1985   24.01489          .   28.94306 |
733. |     SVN   1990   20.85747          .   25.61875 |
734. |     SVN   1995   16.29596          .   19.21842 |
735. |     SVN   2000   11.34775          .   13.65977 |
     |-------------------------------------------------|
737. |     SWE   1975     16.775   10.82381          . |
738. |     SWE   1980       26.3   9.190909          . |
739. |     SWE   1985   24.01489   7.886364          . |
740. |     SWE   1990   20.85747   7.608696          . |
741. |     SWE   1995   16.29596    6.63913          . |
     |-------------------------------------------------|
742. |     SWE   2000   11.34775   2.966667          . |
744. |     SYR   1975     16.775          .   34.62857 |
745. |     SYR   1980       26.3          .   34.14167 |
746. |     SYR   1985   24.01489          .   28.94306 |
747. |     SYR   1990   20.85747          .   25.61875 |
     |-------------------------------------------------|
748. |     SYR   1995   16.29596          .   19.21842 |
749. |     SYR   2000   11.34775          .   13.65977 |
751. |     TCD   1975     16.775          .   34.62857 |
752. |     TCD   1980       26.3          .   34.14167 |
753. |     TCD   1985   24.01489          .   28.94306 |
     |-------------------------------------------------|
754. |     TCD   1990   20.85747          .   25.61875 |
755. |     TCD   1995   16.29596          .   19.21842 |
756. |     TCD   2000   11.34775          .   13.65977 |
758. |     TGO   1975     16.775          .   34.62857 |
759. |     TGO   1980       26.3          .   34.14167 |
     |-------------------------------------------------|
760. |     TGO   1985   24.01489          .   28.94306 |
761. |     TGO   1990   20.85747          .   25.61875 |
762. |     TGO   1995   16.29596          .   19.21842 |
763. |     TGO   2000   11.34775          .   13.65977 |
765. |     THA   1975     16.775          .   34.62857 |
     |-------------------------------------------------|
766. |     THA   1980       26.3          .   34.14167 |
767. |     THA   1985   24.01489          .   28.94306 |
768. |     THA   1990   20.85747          .   25.61875 |
769. |     THA   1995   16.29596          .   19.21842 |
770. |     THA   2000   11.34775          .   13.65977 |
     |-------------------------------------------------|
772. |     TTO   1975     16.775          .   34.62857 |
773. |     TTO   1980       26.3          .   34.14167 |
774. |     TTO   1985   24.01489          .   28.94306 |
775. |     TTO   1990   20.85747          .   25.61875 |
776. |     TTO   1995   16.29596          .   19.21842 |
     |-------------------------------------------------|
777. |     TTO   2000   11.34775          .   13.65977 |
779. |     TUN   1975     16.775          .   34.62857 |
780. |     TUN   1980       26.3          .   34.14167 |
781. |     TUN   1985   24.01489          .   28.94306 |
782. |     TUN   1990   20.85747          .   25.61875 |
     |-------------------------------------------------|
783. |     TUN   1995   16.29596          .   19.21842 |
784. |     TUN   2000   11.34775          .   13.65977 |
786. |     TUR   1975     16.775          .   34.62857 |
787. |     TUR   1980       26.3          .   34.14167 |
788. |     TUR   1985   24.01489          .   28.94306 |
     |-------------------------------------------------|
789. |     TUR   1990   20.85747          .   25.61875 |
790. |     TUR   1995   16.29596          .   19.21842 |
791. |     TUR   2000   11.34775          .   13.65977 |
793. |     TWN   1975     16.775          .   34.62857 |
794. |     TWN   1980       26.3          .   34.14167 |
     |-------------------------------------------------|
795. |     TWN   1985   24.01489          .   28.94306 |
796. |     TWN   1990   20.85747          .   25.61875 |
797. |     TWN   1995   16.29596          .   19.21842 |
798. |     TWN   2000   11.34775          .   13.65977 |
800. |     TZA   1975     16.775          .   34.62857 |
     |-------------------------------------------------|
801. |     TZA   1980       26.3          .   34.14167 |
802. |     TZA   1985   24.01489          .   28.94306 |
803. |     TZA   1990   20.85747          .   25.61875 |
804. |     TZA   1995   16.29596          .   19.21842 |
805. |     TZA   2000   11.34775          .   13.65977 |
     |-------------------------------------------------|
807. |     UGA   1975     16.775          .   34.62857 |
808. |     UGA   1980       26.3          .   34.14167 |
809. |     UGA   1985   24.01489          .   28.94306 |
810. |     UGA   1990   20.85747          .   25.61875 |
811. |     UGA   1995   16.29596          .   19.21842 |
     |-------------------------------------------------|
812. |     UGA   2000   11.34775          .   13.65977 |
814. |     UKR   1975     16.775          .   34.62857 |
815. |     UKR   1980       26.3          .   34.14167 |
816. |     UKR   1985   24.01489          .   28.94306 |
817. |     UKR   1990   20.85747          .   25.61875 |
     |-------------------------------------------------|
818. |     UKR   1995   16.29596          .   19.21842 |
819. |     UKR   2000   11.34775          .   13.65977 |
821. |     URY   1975     16.775          .   34.62857 |
822. |     URY   1980       26.3          .   34.14167 |
823. |     URY   1985   24.01489          .   28.94306 |
     |-------------------------------------------------|
824. |     URY   1990   20.85747          .   25.61875 |
825. |     URY   1995   16.29596          .   19.21842 |
826. |     URY   2000   11.34775          .   13.65977 |
828. |     USA   1975     16.775   10.82381          . |
829. |     USA   1980       26.3   9.190909          . |
     |-------------------------------------------------|
830. |     USA   1985   24.01489   7.886364          . |
831. |     USA   1990   20.85747   7.608696          . |
832. |     USA   1995   16.29596    6.63913          . |
833. |     USA   2000   11.34775   2.966667          . |
835. |     VEN   1975     16.775          .   34.62857 |
     |-------------------------------------------------|
836. |     VEN   1980       26.3          .   34.14167 |
837. |     VEN   1985   24.01489          .   28.94306 |
838. |     VEN   1990   20.85747          .   25.61875 |
839. |     VEN   1995   16.29596          .   19.21842 |
840. |     VEN   2000   11.34775          .   13.65977 |
     |-------------------------------------------------|
842. |     ZAF   1975     16.775          .   34.62857 |
843. |     ZAF   1980       26.3          .   34.14167 |
844. |     ZAF   1985   24.01489          .   28.94306 |
845. |     ZAF   1990   20.85747          .   25.61875 |
846. |     ZAF   1995   16.29596          .   19.21842 |
     |-------------------------------------------------|
847. |     ZAF   2000   11.34775          .   13.65977 |
849. |     ZMB   1975     16.775          .   34.62857 |
850. |     ZMB   1980       26.3          .   34.14167 |
851. |     ZMB   1985   24.01489          .   28.94306 |
852. |     ZMB   1990   20.85747          .   25.61875 |
     |-------------------------------------------------|
853. |     ZMB   1995   16.29596          .   19.21842 |
854. |     ZMB   2000   11.34775          .   13.65977 |
856. |     ZWE   1975     16.775          .   34.62857 |
857. |     ZWE   1980       26.3          .   34.14167 |
858. |     ZWE   1985   24.01489          .   28.94306 |
     |-------------------------------------------------|
859. |     ZWE   1990   20.85747          .   25.61875 |
860. |     ZWE   1995   16.29596          .   19.21842 |
861. |     ZWE   2000   11.34775          .   13.65977 |
     +-------------------------------------------------+

. 
. * define hi low and lib
. 
. gen tariffend = tariff if year==2000
(750 missing values generated)

. bysort isocode: egen tariffend1 = median(tariffend)
(84 missing values generated)

. egen tariffendm = median(tariffend)

. gen tariffendlow = 0 if tariffendm~=.

. replace tariffendlow = 1 if tariffend1<tariffendm
(385 real changes made)

. 
. bysort year: egen t3 = mean(tariff) if developing==1 & developing ~=. & tariffendlow==1
(644 missing values generated)

. bysort year: egen t4 = mean(tariff) if developing==1 & developing ~=. & tariffendlow==0
(453 missing values generated)

. 
. gen lt85 = tariff if year==1985
(767 missing values generated)

. bysort isocode: egen lt85a = mean(lt85)
(203 missing values generated)

. 
. gen lt00 = tariff if year==2000
(750 missing values generated)

. bysort isocode: egen lt00a = mean(lt00)
(84 missing values generated)

. 
. gen dlt = lt00a-lt85a
(266 missing values generated)

. 
. egen dltm = median(dlt)

. 
. gen lib = 0 if dlt~=.
(266 missing values generated)

. replace lib = 1 if dlt<dltm
(294 real changes made)

. 
. bysort year: egen t5 = mean(tariff) if developing==1 & developing ~=. & tariffendlow==1 & l
> ib==0
(813 missing values generated)

. bysort year: egen t6 = mean(tariff) if developing==1 & developing ~=. & tariffendlow==0 & l
> ib==0
(781 missing values generated)

. bysort year: egen t7 = mean(tariff) if developing==1 & developing ~=. & lib==1
(588 missing values generated)

. bysort year: egen t8 = mean(tariff) if developing==1 & developing ~=. & lib==0
(717 missing values generated)

. 
. rename t6 nonlib_high

. rename t5 nonlib_low

. rename t7 liberalizer

. rename t8 nonliberalizer

. 
. label var liberalizer "Liberalizers"

. label var nonlib_high "Non-Liberalizers: High Tariffs"

. label var nonlib_low "Non-Liberalizers: Low Tariffs"

. label var nonliberalizer "Non-Liberalizers"

. 
. graph twoway line liberalizer nonliberalizer year if year>1970, msymbol(x + O) saving(Figur
> e3b,replace)
(file Figure3b.gph saved)

. gr export Figure3b.pdf, replace
(file /Users/amtaylor/Documents/amt/Current/Toni2004/REStatReplicationFiles/Figure3b.pdf writ
> ten in PDF format)

. 
. 
. sort isocode year

. list isocode year nonlib_high nonlib_low liberalizer if year>1970

     +-------------------------------------------------+
     | isocode   year   nonlib~h   nonlib~w   libera~r |
     |-------------------------------------------------|
  2. |     ALB   1975          .          .          . |
  3. |     ALB   1980          .          .          . |
  4. |     ALB   1985          .          .          . |
  5. |     ALB   1990          .          .          . |
  6. |     ALB   1995          .          .          . |
     |-------------------------------------------------|
  7. |     ALB   2000          .          .          . |
  9. |     ARE   1975          .          6          . |
 10. |     ARE   1980          .   6.516666          . |
 11. |     ARE   1985          .     4.8625          . |
 12. |     ARE   1990          .   7.733333          . |
     |-------------------------------------------------|
 13. |     ARE   1995          .   11.14286          . |
 14. |     ARE   2000          .       5.15          . |
 16. |     ARG   1975          .          .      46.08 |
 17. |     ARG   1980          .          .   43.53077 |
 18. |     ARG   1985          .          .   39.19231 |
     |-------------------------------------------------|
 19. |     ARG   1990          .          .   30.98055 |
 20. |     ARG   1995          .          .    22.1973 |
 21. |     ARG   2000          .          .   14.05128 |
 23. |     AUS   1975          .          .          . |
 24. |     AUS   1980          .          .          . |
     |-------------------------------------------------|
 25. |     AUS   1985          .          .          . |
 26. |     AUS   1990          .          .          . |
 27. |     AUS   1995          .          .          . |
 28. |     AUS   2000          .          .          . |
 30. |     AUT   1975          .          .          . |
     |-------------------------------------------------|
 31. |     AUT   1980          .          .          . |
 32. |     AUT   1985          .          .          . |
 33. |     AUT   1990          .          .          . |
 34. |     AUT   1995          .          .          . |
 35. |     AUT   2000          .          .          . |
     |-------------------------------------------------|
 37. |     BDI   1975          .          .          . |
 38. |     BDI   1980          .          .          . |
 39. |     BDI   1985          .          .          . |
 40. |     BDI   1990          .          .          . |
 41. |     BDI   1995          .          .          . |
     |-------------------------------------------------|
 42. |     BDI   2000          .          .          . |
 44. |     BEL   1975          .          .          . |
 45. |     BEL   1980          .          .          . |
 46. |     BEL   1985          .          .          . |
 47. |     BEL   1990          .          .          . |
     |-------------------------------------------------|
 48. |     BEL   1995          .          .          . |
 49. |     BEL   2000          .          .          . |
 51. |     BEN   1975          .          .      46.08 |
 52. |     BEN   1980          .          .   43.53077 |
 53. |     BEN   1985          .          .   39.19231 |
     |-------------------------------------------------|
 54. |     BEN   1990          .          .   30.98055 |
 55. |     BEN   1995          .          .    22.1973 |
 56. |     BEN   2000          .          .   14.05128 |
 58. |     BGD   1975          .          .      46.08 |
 59. |     BGD   1980          .          .   43.53077 |
     |-------------------------------------------------|
 60. |     BGD   1985          .          .   39.19231 |
 61. |     BGD   1990          .          .   30.98055 |
 62. |     BGD   1995          .          .    22.1973 |
 63. |     BGD   2000          .          .   14.05128 |
 65. |     BGR   1975          .          .          . |
     |-------------------------------------------------|
 66. |     BGR   1980          .          .          . |
 67. |     BGR   1985          .          .          . |
 68. |     BGR   1990          .          .          . |
 69. |     BGR   1995          .          .          . |
 70. |     BGR   2000          .          .          . |
     |-------------------------------------------------|
 72. |     BHR   1975          .          .          . |
 73. |     BHR   1980          .          .          . |
 74. |     BHR   1985          .          .          . |
 75. |     BHR   1990          .          .          . |
 76. |     BHR   1995          .          .          . |
     |-------------------------------------------------|
 77. |     BHR   2000          .          .          . |
 79. |     BHS   1975          .          .          . |
 80. |     BHS   1980   25.34444          .          . |
 81. |     BHS   1985    18.3375          .          . |
 82. |     BHS   1990   18.11818          .          . |
     |-------------------------------------------------|
 83. |     BHS   1995   20.36364          .          . |
 84. |     BHS   2000   21.39375          .          . |
 86. |     BLZ   1975          .          .          . |
 87. |     BLZ   1980          .          .          . |
 88. |     BLZ   1985          .          .          . |
     |-------------------------------------------------|
 89. |     BLZ   1990          .          .          . |
 90. |     BLZ   1995          .          .          . |
 91. |     BLZ   2000          .          .          . |
 93. |     BOL   1975          .          .      46.08 |
 94. |     BOL   1980          .          .   43.53077 |
     |-------------------------------------------------|
 95. |     BOL   1985          .          .   39.19231 |
 96. |     BOL   1990          .          .   30.98055 |
 97. |     BOL   1995          .          .    22.1973 |
 98. |     BOL   2000          .          .   14.05128 |
100. |     BRA   1975          .          .      46.08 |
     |-------------------------------------------------|
101. |     BRA   1980          .          .   43.53077 |
102. |     BRA   1985          .          .   39.19231 |
103. |     BRA   1990          .          .   30.98055 |
104. |     BRA   1995          .          .    22.1973 |
105. |     BRA   2000          .          .   14.05128 |
     |-------------------------------------------------|
107. |     BRB   1975          .          .          . |
108. |     BRB   1980   25.34444          .          . |
109. |     BRB   1985    18.3375          .          . |
110. |     BRB   1990   18.11818          .          . |
111. |     BRB   1995   20.36364          .          . |
     |-------------------------------------------------|
112. |     BRB   2000   21.39375          .          . |
114. |     BWA   1975          .          6          . |
115. |     BWA   1980          .   6.516666          . |
116. |     BWA   1985          .     4.8625          . |
117. |     BWA   1990          .   7.733333          . |
     |-------------------------------------------------|
118. |     BWA   1995          .   11.14286          . |
119. |     BWA   2000          .       5.15          . |
121. |     CAF   1975          .          .      46.08 |
122. |     CAF   1980          .          .   43.53077 |
123. |     CAF   1985          .          .   39.19231 |
     |-------------------------------------------------|
124. |     CAF   1990          .          .   30.98055 |
125. |     CAF   1995          .          .    22.1973 |
126. |     CAF   2000          .          .   14.05128 |
128. |     CAN   1975          .          .          . |
129. |     CAN   1980          .          .          . |
     |-------------------------------------------------|
130. |     CAN   1985          .          .          . |
131. |     CAN   1990          .          .          . |
132. |     CAN   1995          .          .          . |
133. |     CAN   2000          .          .          . |
135. |     CHE   1975          .          .          . |
     |-------------------------------------------------|
136. |     CHE   1980          .          .          . |
137. |     CHE   1985          .          .          . |
138. |     CHE   1990          .          .          . |
139. |     CHE   1995          .          .          . |
140. |     CHE   2000          .          .          . |
     |-------------------------------------------------|
142. |     CHL   1975          .          .      46.08 |
143. |     CHL   1980          .          .   43.53077 |
144. |     CHL   1985          .          .   39.19231 |
145. |     CHL   1990          .          .   30.98055 |
146. |     CHL   1995          .          .    22.1973 |
     |-------------------------------------------------|
147. |     CHL   2000          .          .   14.05128 |
149. |     CHN   1975          .          .      46.08 |
150. |     CHN   1980          .          .   43.53077 |
151. |     CHN   1985          .          .   39.19231 |
152. |     CHN   1990          .          .   30.98055 |
     |-------------------------------------------------|
153. |     CHN   1995          .          .    22.1973 |
154. |     CHN   2000          .          .   14.05128 |
156. |     CIV   1975          .          .      46.08 |
157. |     CIV   1980          .          .   43.53077 |
158. |     CIV   1985          .          .   39.19231 |
     |-------------------------------------------------|
159. |     CIV   1990          .          .   30.98055 |
160. |     CIV   1995          .          .    22.1973 |
161. |     CIV   2000          .          .   14.05128 |
163. |     CMR   1975          .          .          . |
164. |     CMR   1980          .          .          . |
     |-------------------------------------------------|
165. |     CMR   1985          .          .          . |
166. |     CMR   1990          .          .          . |
167. |     CMR   1995          .          .          . |
168. |     CMR   2000          .          .          . |
170. |     COD   1975          .          .          . |
     |-------------------------------------------------|
171. |     COD   1980          .          .          . |
172. |     COD   1985          .          .          . |
173. |     COD   1990          .          .          . |
174. |     COD   1995          .          .          . |
175. |     COD   2000          .          .          . |
     |-------------------------------------------------|
177. |     COG   1975          .          .      46.08 |
178. |     COG   1980          .          .   43.53077 |
179. |     COG   1985          .          .   39.19231 |
180. |     COG   1990          .          .   30.98055 |
181. |     COG   1995          .          .    22.1973 |
     |-------------------------------------------------|
182. |     COG   2000          .          .   14.05128 |
184. |     COL   1975          .          .      46.08 |
185. |     COL   1980          .          .   43.53077 |
186. |     COL   1985          .          .   39.19231 |
187. |     COL   1990          .          .   30.98055 |
     |-------------------------------------------------|
188. |     COL   1995          .          .    22.1973 |
189. |     COL   2000          .          .   14.05128 |
191. |     CRI   1975          .          .      46.08 |
192. |     CRI   1980          .          .   43.53077 |
193. |     CRI   1985          .          .   39.19231 |
     |-------------------------------------------------|
194. |     CRI   1990          .          .   30.98055 |
195. |     CRI   1995          .          .    22.1973 |
196. |     CRI   2000          .          .   14.05128 |
198. |     CYP   1975          .          .          . |
199. |     CYP   1980   25.34444          .          . |
     |-------------------------------------------------|
200. |     CYP   1985    18.3375          .          . |
201. |     CYP   1990   18.11818          .          . |
202. |     CYP   1995   20.36364          .          . |
203. |     CYP   2000   21.39375          .          . |
205. |     CZE   1975          .          .          . |
     |-------------------------------------------------|
206. |     CZE   1980          .          .          . |
207. |     CZE   1985          .          .          . |
208. |     CZE   1990          .          .          . |
209. |     CZE   1995          .          .          . |
210. |     CZE   2000          .          .          . |
     |-------------------------------------------------|
212. |     DEU   1975          .          .          . |
213. |     DEU   1980          .          .          . |
214. |     DEU   1985          .          .          . |
215. |     DEU   1990          .          .          . |
216. |     DEU   1995          .          .          . |
     |-------------------------------------------------|
217. |     DEU   2000          .          .          . |
219. |     DNK   1975          .          .          . |
220. |     DNK   1980          .          .          . |
221. |     DNK   1985          .          .          . |
222. |     DNK   1990          .          .          . |
     |-------------------------------------------------|
223. |     DNK   1995          .          .          . |
224. |     DNK   2000          .          .          . |
226. |     DOM   1975          .          .          . |
227. |     DOM   1980          .          .          . |
228. |     DOM   1985          .          .          . |
     |-------------------------------------------------|
229. |     DOM   1990          .          .          . |
230. |     DOM   1995          .          .          . |
231. |     DOM   2000          .          .          . |
233. |     DZA   1975          .          .          . |
234. |     DZA   1980   25.34444          .          . |
     |-------------------------------------------------|
235. |     DZA   1985    18.3375          .          . |
236. |     DZA   1990   18.11818          .          . |
237. |     DZA   1995   20.36364          .          . |
238. |     DZA   2000   21.39375          .          . |
240. |     ECU   1975          .          .      46.08 |
     |-------------------------------------------------|
241. |     ECU   1980          .          .   43.53077 |
242. |     ECU   1985          .          .   39.19231 |
243. |     ECU   1990          .          .   30.98055 |
244. |     ECU   1995          .          .    22.1973 |
245. |     ECU   2000          .          .   14.05128 |
     |-------------------------------------------------|
247. |     EGY   1975          .          .      46.08 |
248. |     EGY   1980          .          .   43.53077 |
249. |     EGY   1985          .          .   39.19231 |
250. |     EGY   1990          .          .   30.98055 |
251. |     EGY   1995          .          .    22.1973 |
     |-------------------------------------------------|
252. |     EGY   2000          .          .   14.05128 |
254. |     ESP   1975          .          .          . |
255. |     ESP   1980          .          .          . |
256. |     ESP   1985          .          .          . |
257. |     ESP   1990          .          .          . |
     |-------------------------------------------------|
258. |     ESP   1995          .          .          . |
259. |     ESP   2000          .          .          . |
261. |     EST   1975          .          .          . |
262. |     EST   1980          .          .          . |
263. |     EST   1985          .          .          . |
     |-------------------------------------------------|
264. |     EST   1990          .          .          . |
265. |     EST   1995          .          .          . |
266. |     EST   2000          .          .          . |
268. |     FIN   1975          .          .          . |
269. |     FIN   1980          .          .          . |
     |-------------------------------------------------|
270. |     FIN   1985          .          .          . |
271. |     FIN   1990          .          .          . |
272. |     FIN   1995          .          .          . |
273. |     FIN   2000          .          .          . |
275. |     FJI   1975          .          .          . |
     |-------------------------------------------------|
276. |     FJI   1980          .          .          . |
277. |     FJI   1985          .          .          . |
278. |     FJI   1990          .          .          . |
279. |     FJI   1995          .          .          . |
280. |     FJI   2000          .          .          . |
     |-------------------------------------------------|
282. |     FRA   1975          .          .          . |
283. |     FRA   1980          .          .          . |
284. |     FRA   1985          .          .          . |
285. |     FRA   1990          .          .          . |
286. |     FRA   1995          .          .          . |
     |-------------------------------------------------|
287. |     FRA   2000          .          .          . |
289. |     GAB   1975          .          .      46.08 |
290. |     GAB   1980          .          .   43.53077 |
291. |     GAB   1985          .          .   39.19231 |
292. |     GAB   1990          .          .   30.98055 |
     |-------------------------------------------------|
293. |     GAB   1995          .          .    22.1973 |
294. |     GAB   2000          .          .   14.05128 |
296. |     GBR   1975          .          .          . |
297. |     GBR   1980          .          .          . |
298. |     GBR   1985          .          .          . |
     |-------------------------------------------------|
299. |     GBR   1990          .          .          . |
300. |     GBR   1995          .          .          . |
301. |     GBR   2000          .          .          . |
303. |     GHA   1975          .          .      46.08 |
304. |     GHA   1980          .          .   43.53077 |
     |-------------------------------------------------|
305. |     GHA   1985          .          .   39.19231 |
306. |     GHA   1990          .          .   30.98055 |
307. |     GHA   1995          .          .    22.1973 |
308. |     GHA   2000          .          .   14.05128 |
310. |     GNB   1975          .          .          . |
     |-------------------------------------------------|
311. |     GNB   1980          .          .          . |
312. |     GNB   1985          .          .          . |
313. |     GNB   1990          .          .          . |
314. |     GNB   1995          .          .          . |
315. |     GNB   2000          .          .          . |
     |-------------------------------------------------|
317. |     GRC   1975          .          .          . |
318. |     GRC   1980          .          .          . |
319. |     GRC   1985          .          .          . |
320. |     GRC   1990          .          .          . |
321. |     GRC   1995          .          .          . |
     |-------------------------------------------------|
322. |     GRC   2000          .          .          . |
324. |     GTM   1975          .          .      46.08 |
325. |     GTM   1980          .          .   43.53077 |
326. |     GTM   1985          .          .   39.19231 |
327. |     GTM   1990          .          .   30.98055 |
     |-------------------------------------------------|
328. |     GTM   1995          .          .    22.1973 |
329. |     GTM   2000          .          .   14.05128 |
331. |     GUY   1975          .          .          . |
332. |     GUY   1980   25.34444          .          . |
333. |     GUY   1985    18.3375          .          . |
     |-------------------------------------------------|
334. |     GUY   1990   18.11818          .          . |
335. |     GUY   1995   20.36364          .          . |
336. |     GUY   2000   21.39375          .          . |
338. |     HKG   1975          .          6          . |
339. |     HKG   1980          .   6.516666          . |
     |-------------------------------------------------|
340. |     HKG   1985          .     4.8625          . |
341. |     HKG   1990          .   7.733333          . |
342. |     HKG   1995          .   11.14286          . |
343. |     HKG   2000          .       5.15          . |
345. |     HND   1975          .          .          . |
     |-------------------------------------------------|
346. |     HND   1980          .          .          . |
347. |     HND   1985          .          .          . |
348. |     HND   1990          .          .          . |
349. |     HND   1995          .          .          . |
350. |     HND   2000          .          .          . |
     |-------------------------------------------------|
352. |     HRV   1975          .          .          . |
353. |     HRV   1980          .          .          . |
354. |     HRV   1985          .          .          . |
355. |     HRV   1990          .          .          . |
356. |     HRV   1995          .          .          . |
     |-------------------------------------------------|
357. |     HRV   2000          .          .          . |
359. |     HTI   1975          .          .          . |
360. |     HTI   1980   25.34444          .          . |
361. |     HTI   1985    18.3375          .          . |
362. |     HTI   1990   18.11818          .          . |
     |-------------------------------------------------|
363. |     HTI   1995   20.36364          .          . |
364. |     HTI   2000   21.39375          .          . |
366. |     HUN   1975          .          .          . |
367. |     HUN   1980          .          .          . |
368. |     HUN   1985          .          .          . |
     |-------------------------------------------------|
369. |     HUN   1990          .          .          . |
370. |     HUN   1995          .          .          . |
371. |     HUN   2000          .          .          . |
373. |     IDN   1975          .          .      46.08 |
374. |     IDN   1980          .          .   43.53077 |
     |-------------------------------------------------|
375. |     IDN   1985          .          .   39.19231 |
376. |     IDN   1990          .          .   30.98055 |
377. |     IDN   1995          .          .    22.1973 |
378. |     IDN   2000          .          .   14.05128 |
380. |     IND   1975          .          .      46.08 |
     |-------------------------------------------------|
381. |     IND   1980          .          .   43.53077 |
382. |     IND   1985          .          .   39.19231 |
383. |     IND   1990          .          .   30.98055 |
384. |     IND   1995          .          .    22.1973 |
385. |     IND   2000          .          .   14.05128 |
     |-------------------------------------------------|
387. |     IRL   1975          .          .          . |
388. |     IRL   1980          .          .          . |
389. |     IRL   1985          .          .          . |
390. |     IRL   1990          .          .          . |
391. |     IRL   1995          .          .          . |
     |-------------------------------------------------|
392. |     IRL   2000          .          .          . |
394. |     IRN   1975          .          .      46.08 |
395. |     IRN   1980          .          .   43.53077 |
396. |     IRN   1985          .          .   39.19231 |
397. |     IRN   1990          .          .   30.98055 |
     |-------------------------------------------------|
398. |     IRN   1995          .          .    22.1973 |
399. |     IRN   2000          .          .   14.05128 |
401. |     ISL   1975          .          .          . |
402. |     ISL   1980          .          .          . |
403. |     ISL   1985          .          .          . |
     |-------------------------------------------------|
404. |     ISL   1990          .          .          . |
405. |     ISL   1995          .          .          . |
406. |     ISL   2000          .          .          . |
408. |     ISR   1975          .          .          . |
409. |     ISR   1980          .          .          . |
     |-------------------------------------------------|
410. |     ISR   1985          .          .          . |
411. |     ISR   1990          .          .          . |
412. |     ISR   1995          .          .          . |
413. |     ISR   2000          .          .          . |
415. |     ITA   1975          .          .          . |
     |-------------------------------------------------|
416. |     ITA   1980          .          .          . |
417. |     ITA   1985          .          .          . |
418. |     ITA   1990          .          .          . |
419. |     ITA   1995          .          .          . |
420. |     ITA   2000          .          .          . |
     |-------------------------------------------------|
422. |     JAM   1975          .          .          . |
423. |     JAM   1980   25.34444          .          . |
424. |     JAM   1985    18.3375          .          . |
425. |     JAM   1990   18.11818          .          . |
426. |     JAM   1995   20.36364          .          . |
     |-------------------------------------------------|
427. |     JAM   2000   21.39375          .          . |
429. |     JOR   1975          .          .          . |
430. |     JOR   1980   25.34444          .          . |
431. |     JOR   1985    18.3375          .          . |
432. |     JOR   1990   18.11818          .          . |
     |-------------------------------------------------|
433. |     JOR   1995   20.36364          .          . |
434. |     JOR   2000   21.39375          .          . |
436. |     JPN   1975          .          .          . |
437. |     JPN   1980          .          .          . |
438. |     JPN   1985          .          .          . |
     |-------------------------------------------------|
439. |     JPN   1990          .          .          . |
440. |     JPN   1995          .          .          . |
441. |     JPN   2000          .          .          . |
443. |     KEN   1975          .          .      46.08 |
444. |     KEN   1980          .          .   43.53077 |
     |-------------------------------------------------|
445. |     KEN   1985          .          .   39.19231 |
446. |     KEN   1990          .          .   30.98055 |
447. |     KEN   1995          .          .    22.1973 |
448. |     KEN   2000          .          .   14.05128 |
450. |     KOR   1975          .          .      46.08 |
     |-------------------------------------------------|
451. |     KOR   1980          .          .   43.53077 |
452. |     KOR   1985          .          .   39.19231 |
453. |     KOR   1990          .          .   30.98055 |
454. |     KOR   1995          .          .    22.1973 |
455. |     KOR   2000          .          .   14.05128 |
     |-------------------------------------------------|
457. |     KWT   1975          .          .          . |
458. |     KWT   1980          .          .          . |
459. |     KWT   1985          .          .          . |
460. |     KWT   1990          .          .          . |
461. |     KWT   1995          .          .          . |
     |-------------------------------------------------|
462. |     KWT   2000          .          .          . |
464. |     LKA   1975          .          .      46.08 |
465. |     LKA   1980          .          .   43.53077 |
466. |     LKA   1985          .          .   39.19231 |
467. |     LKA   1990          .          .   30.98055 |
     |-------------------------------------------------|
468. |     LKA   1995          .          .    22.1973 |
469. |     LKA   2000          .          .   14.05128 |
471. |     LTU   1975          .          .          . |
472. |     LTU   1980          .          .          . |
473. |     LTU   1985          .          .          . |
     |-------------------------------------------------|
474. |     LTU   1990          .          .          . |
475. |     LTU   1995          .          .          . |
476. |     LTU   2000          .          .          . |
478. |     LUX   1975          .          .          . |
479. |     LUX   1980          .          .          . |
     |-------------------------------------------------|
480. |     LUX   1985          .          .          . |
481. |     LUX   1990          .          .          . |
482. |     LUX   1995          .          .          . |
483. |     LUX   2000          .          .          . |
485. |     LVA   1975          .          .          . |
     |-------------------------------------------------|
486. |     LVA   1980          .          .          . |
487. |     LVA   1985          .          .          . |
488. |     LVA   1990          .          .          . |
489. |     LVA   1995          .          .          . |
490. |     LVA   2000          .          .          . |
     |-------------------------------------------------|
492. |     MAR   1975          .          .          . |
493. |     MAR   1980   25.34444          .          . |
494. |     MAR   1985    18.3375          .          . |
495. |     MAR   1990   18.11818          .          . |
496. |     MAR   1995   20.36364          .          . |
     |-------------------------------------------------|
497. |     MAR   2000   21.39375          .          . |
499. |     MDG   1975          .          .          . |
500. |     MDG   1980          .          .          . |
501. |     MDG   1985          .          .          . |
502. |     MDG   1990          .          .          . |
     |-------------------------------------------------|
503. |     MDG   1995          .          .          . |
504. |     MDG   2000          .          .          . |
506. |     MEX   1975          .          .      46.08 |
507. |     MEX   1980          .          .   43.53077 |
508. |     MEX   1985          .          .   39.19231 |
     |-------------------------------------------------|
509. |     MEX   1990          .          .   30.98055 |
510. |     MEX   1995          .          .    22.1973 |
511. |     MEX   2000          .          .   14.05128 |
513. |     MLI   1975          .          .      46.08 |
514. |     MLI   1980          .          .   43.53077 |
     |-------------------------------------------------|
515. |     MLI   1985          .          .   39.19231 |
516. |     MLI   1990          .          .   30.98055 |
517. |     MLI   1995          .          .    22.1973 |
518. |     MLI   2000          .          .   14.05128 |
520. |     MLT   1975          .          .          . |
     |-------------------------------------------------|
521. |     MLT   1980          .          .          . |
522. |     MLT   1985          .          .          . |
523. |     MLT   1990          .          .          . |
524. |     MLT   1995          .          .          . |
525. |     MLT   2000          .          .          . |
     |-------------------------------------------------|
527. |     MMR   1975          .          .          . |
528. |     MMR   1980          .          .          . |
529. |     MMR   1985          .          .          . |
530. |     MMR   1990          .          .          . |
531. |     MMR   1995          .          .          . |
     |-------------------------------------------------|
532. |     MMR   2000          .          .          . |
534. |     MUS   1975          .          .          . |
535. |     MUS   1980   25.34444          .          . |
536. |     MUS   1985    18.3375          .          . |
537. |     MUS   1990   18.11818          .          . |
     |-------------------------------------------------|
538. |     MUS   1995   20.36364          .          . |
539. |     MUS   2000   21.39375          .          . |
541. |     MWI   1975          .          .          . |
542. |     MWI   1980   25.34444          .          . |
543. |     MWI   1985    18.3375          .          . |
     |-------------------------------------------------|
544. |     MWI   1990   18.11818          .          . |
545. |     MWI   1995   20.36364          .          . |
546. |     MWI   2000   21.39375          .          . |
548. |     MYS   1975          .          6          . |
549. |     MYS   1980          .   6.516666          . |
     |-------------------------------------------------|
550. |     MYS   1985          .     4.8625          . |
551. |     MYS   1990          .   7.733333          . |
552. |     MYS   1995          .   11.14286          . |
553. |     MYS   2000          .       5.15          . |
555. |     NAM   1975          .          6          . |
     |-------------------------------------------------|
556. |     NAM   1980          .   6.516666          . |
557. |     NAM   1985          .     4.8625          . |
558. |     NAM   1990          .   7.733333          . |
559. |     NAM   1995          .   11.14286          . |
560. |     NAM   2000          .       5.15          . |
     |-------------------------------------------------|
562. |     NER   1975          .          .          . |
563. |     NER   1980          .          .          . |
564. |     NER   1985          .          .          . |
565. |     NER   1990          .          .          . |
566. |     NER   1995          .          .          . |
     |-------------------------------------------------|
567. |     NER   2000          .          .          . |
569. |     NGA   1975          .          .          . |
570. |     NGA   1980          .          .          . |
571. |     NGA   1985          .          .          . |
572. |     NGA   1990          .          .          . |
     |-------------------------------------------------|
573. |     NGA   1995          .          .          . |
574. |     NGA   2000          .          .          . |
576. |     NIC   1975          .          .      46.08 |
577. |     NIC   1980          .          .   43.53077 |
578. |     NIC   1985          .          .   39.19231 |
     |-------------------------------------------------|
579. |     NIC   1990          .          .   30.98055 |
580. |     NIC   1995          .          .    22.1973 |
581. |     NIC   2000          .          .   14.05128 |
583. |     NLD   1975          .          .          . |
584. |     NLD   1980          .          .          . |
     |-------------------------------------------------|
585. |     NLD   1985          .          .          . |
586. |     NLD   1990          .          .          . |
587. |     NLD   1995          .          .          . |
588. |     NLD   2000          .          .          . |
590. |     NOR   1975          .          .          . |
     |-------------------------------------------------|
591. |     NOR   1980          .          .          . |
592. |     NOR   1985          .          .          . |
593. |     NOR   1990          .          .          . |
594. |     NOR   1995          .          .          . |
595. |     NOR   2000          .          .          . |
     |-------------------------------------------------|
597. |     NPL   1975          .          .      46.08 |
598. |     NPL   1980          .          .   43.53077 |
599. |     NPL   1985          .          .   39.19231 |
600. |     NPL   1990          .          .   30.98055 |
601. |     NPL   1995          .          .    22.1973 |
     |-------------------------------------------------|
602. |     NPL   2000          .          .   14.05128 |
604. |     NZL   1975          .          .          . |
605. |     NZL   1980          .          .          . |
606. |     NZL   1985          .          .          . |
607. |     NZL   1990          .          .          . |
     |-------------------------------------------------|
608. |     NZL   1995          .          .          . |
609. |     NZL   2000          .          .          . |
611. |     OMN   1975          .          6          . |
612. |     OMN   1980          .   6.516666          . |
613. |     OMN   1985          .     4.8625          . |
     |-------------------------------------------------|
614. |     OMN   1990          .   7.733333          . |
615. |     OMN   1995          .   11.14286          . |
616. |     OMN   2000          .       5.15          . |
618. |     PAK   1975          .          .      46.08 |
619. |     PAK   1980          .          .   43.53077 |
     |-------------------------------------------------|
620. |     PAK   1985          .          .   39.19231 |
621. |     PAK   1990          .          .   30.98055 |
622. |     PAK   1995          .          .    22.1973 |
623. |     PAK   2000          .          .   14.05128 |
625. |     PAN   1975          .          .          . |
     |-------------------------------------------------|
626. |     PAN   1980          .          .          . |
627. |     PAN   1985          .          .          . |
628. |     PAN   1990          .          .          . |
629. |     PAN   1995          .          .          . |
630. |     PAN   2000          .          .          . |
     |-------------------------------------------------|
632. |     PER   1975          .          .      46.08 |
633. |     PER   1980          .          .   43.53077 |
634. |     PER   1985          .          .   39.19231 |
635. |     PER   1990          .          .   30.98055 |
636. |     PER   1995          .          .    22.1973 |
     |-------------------------------------------------|
637. |     PER   2000          .          .   14.05128 |
639. |     PHL   1975          .          .      46.08 |
640. |     PHL   1980          .          .   43.53077 |
641. |     PHL   1985          .          .   39.19231 |
642. |     PHL   1990          .          .   30.98055 |
     |-------------------------------------------------|
643. |     PHL   1995          .          .    22.1973 |
644. |     PHL   2000          .          .   14.05128 |
646. |     PNG   1975          .          .          . |
647. |     PNG   1980   25.34444          .          . |
648. |     PNG   1985    18.3375          .          . |
     |-------------------------------------------------|
649. |     PNG   1990   18.11818          .          . |
650. |     PNG   1995   20.36364          .          . |
651. |     PNG   2000   21.39375          .          . |
653. |     POL   1975          .          .          . |
654. |     POL   1980   25.34444          .          . |
     |-------------------------------------------------|
655. |     POL   1985    18.3375          .          . |
656. |     POL   1990   18.11818          .          . |
657. |     POL   1995   20.36364          .          . |
658. |     POL   2000   21.39375          .          . |
660. |     PRT   1975          .          .          . |
     |-------------------------------------------------|
661. |     PRT   1980          .          .          . |
662. |     PRT   1985          .          .          . |
663. |     PRT   1990          .          .          . |
664. |     PRT   1995          .          .          . |
665. |     PRT   2000          .          .          . |
     |-------------------------------------------------|
667. |     PRY   1975          .          .      46.08 |
668. |     PRY   1980          .          .   43.53077 |
669. |     PRY   1985          .          .   39.19231 |
670. |     PRY   1990          .          .   30.98055 |
671. |     PRY   1995          .          .    22.1973 |
     |-------------------------------------------------|
672. |     PRY   2000          .          .   14.05128 |
674. |     ROU   1975          .          .          . |
675. |     ROU   1980          .          .          . |
676. |     ROU   1985          .          .          . |
677. |     ROU   1990          .          .          . |
     |-------------------------------------------------|
678. |     ROU   1995          .          .          . |
679. |     ROU   2000          .          .          . |
681. |     RUS   1975          .          .          . |
682. |     RUS   1980          .          .          . |
683. |     RUS   1985          .          .          . |
     |-------------------------------------------------|
684. |     RUS   1990          .          .          . |
685. |     RUS   1995          .          .          . |
686. |     RUS   2000          .          .          . |
688. |     RWA   1975          .          .          . |
689. |     RWA   1980          .          .          . |
     |-------------------------------------------------|
690. |     RWA   1985          .          .          . |
691. |     RWA   1990          .          .          . |
692. |     RWA   1995          .          .          . |
693. |     RWA   2000          .          .          . |
695. |     SEN   1975          .          .      46.08 |
     |-------------------------------------------------|
696. |     SEN   1980          .          .   43.53077 |
697. |     SEN   1985          .          .   39.19231 |
698. |     SEN   1990          .          .   30.98055 |
699. |     SEN   1995          .          .    22.1973 |
700. |     SEN   2000          .          .   14.05128 |
     |-------------------------------------------------|
702. |     SGP   1975          .          6          . |
703. |     SGP   1980          .   6.516666          . |
704. |     SGP   1985          .     4.8625          . |
705. |     SGP   1990          .   7.733333          . |
706. |     SGP   1995          .   11.14286          . |
     |-------------------------------------------------|
707. |     SGP   2000          .       5.15          . |
709. |     SLE   1975          .          .          . |
710. |     SLE   1980          .          .          . |
711. |     SLE   1985          .          .          . |
712. |     SLE   1990          .          .          . |
     |-------------------------------------------------|
713. |     SLE   1995          .          .          . |
714. |     SLE   2000          .          .          . |
716. |     SLV   1975          .          .          . |
717. |     SLV   1980          .          .          . |
718. |     SLV   1985          .          .          . |
     |-------------------------------------------------|
719. |     SLV   1990          .          .          . |
720. |     SLV   1995          .          .          . |
721. |     SLV   2000          .          .          . |
723. |     SVK   1975          .          .          . |
724. |     SVK   1980          .          .          . |
     |-------------------------------------------------|
725. |     SVK   1985          .          .          . |
726. |     SVK   1990          .          .          . |
727. |     SVK   1995          .          .          . |
728. |     SVK   2000          .          .          . |
730. |     SVN   1975          .          .          . |
     |-------------------------------------------------|
731. |     SVN   1980          .          .          . |
732. |     SVN   1985          .          .          . |
733. |     SVN   1990          .          .          . |
734. |     SVN   1995          .          .          . |
735. |     SVN   2000          .          .          . |
     |-------------------------------------------------|
737. |     SWE   1975          .          .          . |
738. |     SWE   1980          .          .          . |
739. |     SWE   1985          .          .          . |
740. |     SWE   1990          .          .          . |
741. |     SWE   1995          .          .          . |
     |-------------------------------------------------|
742. |     SWE   2000          .          .          . |
744. |     SYR   1975          .          .          . |
745. |     SYR   1980          .          .          . |
746. |     SYR   1985          .          .          . |
747. |     SYR   1990          .          .          . |
     |-------------------------------------------------|
748. |     SYR   1995          .          .          . |
749. |     SYR   2000          .          .          . |
751. |     TCD   1975          .          .          . |
752. |     TCD   1980          .          .          . |
753. |     TCD   1985          .          .          . |
     |-------------------------------------------------|
754. |     TCD   1990          .          .          . |
755. |     TCD   1995          .          .          . |
756. |     TCD   2000          .          .          . |
758. |     TGO   1975          .          .          . |
759. |     TGO   1980          .          .          . |
     |-------------------------------------------------|
760. |     TGO   1985          .          .          . |
761. |     TGO   1990          .          .          . |
762. |     TGO   1995          .          .          . |
763. |     TGO   2000          .          .          . |
765. |     THA   1975          .          .      46.08 |
     |-------------------------------------------------|
766. |     THA   1980          .          .   43.53077 |
767. |     THA   1985          .          .   39.19231 |
768. |     THA   1990          .          .   30.98055 |
769. |     THA   1995          .          .    22.1973 |
770. |     THA   2000          .          .   14.05128 |
     |-------------------------------------------------|
772. |     TTO   1975          .          .          . |
773. |     TTO   1980   25.34444          .          . |
774. |     TTO   1985    18.3375          .          . |
775. |     TTO   1990   18.11818          .          . |
776. |     TTO   1995   20.36364          .          . |
     |-------------------------------------------------|
777. |     TTO   2000   21.39375          .          . |
779. |     TUN   1975          .          .          . |
780. |     TUN   1980   25.34444          .          . |
781. |     TUN   1985    18.3375          .          . |
782. |     TUN   1990   18.11818          .          . |
     |-------------------------------------------------|
783. |     TUN   1995   20.36364          .          . |
784. |     TUN   2000   21.39375          .          . |
786. |     TUR   1975          .          .      46.08 |
787. |     TUR   1980          .          .   43.53077 |
788. |     TUR   1985          .          .   39.19231 |
     |-------------------------------------------------|
789. |     TUR   1990          .          .   30.98055 |
790. |     TUR   1995          .          .    22.1973 |
791. |     TUR   2000          .          .   14.05128 |
793. |     TWN   1975          .          .          . |
794. |     TWN   1980          .          .          . |
     |-------------------------------------------------|
795. |     TWN   1985          .          .          . |
796. |     TWN   1990          .          .          . |
797. |     TWN   1995          .          .          . |
798. |     TWN   2000          .          .          . |
800. |     TZA   1975          .          .      46.08 |
     |-------------------------------------------------|
801. |     TZA   1980          .          .   43.53077 |
802. |     TZA   1985          .          .   39.19231 |
803. |     TZA   1990          .          .   30.98055 |
804. |     TZA   1995          .          .    22.1973 |
805. |     TZA   2000          .          .   14.05128 |
     |-------------------------------------------------|
807. |     UGA   1975          .          .      46.08 |
808. |     UGA   1980          .          .   43.53077 |
809. |     UGA   1985          .          .   39.19231 |
810. |     UGA   1990          .          .   30.98055 |
811. |     UGA   1995          .          .    22.1973 |
     |-------------------------------------------------|
812. |     UGA   2000          .          .   14.05128 |
814. |     UKR   1975          .          .          . |
815. |     UKR   1980          .          .          . |
816. |     UKR   1985          .          .          . |
817. |     UKR   1990          .          .          . |
     |-------------------------------------------------|
818. |     UKR   1995          .          .          . |
819. |     UKR   2000          .          .          . |
821. |     URY   1975          .          .      46.08 |
822. |     URY   1980          .          .   43.53077 |
823. |     URY   1985          .          .   39.19231 |
     |-------------------------------------------------|
824. |     URY   1990          .          .   30.98055 |
825. |     URY   1995          .          .    22.1973 |
826. |     URY   2000          .          .   14.05128 |
828. |     USA   1975          .          .          . |
829. |     USA   1980          .          .          . |
     |-------------------------------------------------|
830. |     USA   1985          .          .          . |
831. |     USA   1990          .          .          . |
832. |     USA   1995          .          .          . |
833. |     USA   2000          .          .          . |
835. |     VEN   1975          .          .      46.08 |
     |-------------------------------------------------|
836. |     VEN   1980          .          .   43.53077 |
837. |     VEN   1985          .          .   39.19231 |
838. |     VEN   1990          .          .   30.98055 |
839. |     VEN   1995          .          .    22.1973 |
840. |     VEN   2000          .          .   14.05128 |
     |-------------------------------------------------|
842. |     ZAF   1975          .          6          . |
843. |     ZAF   1980          .   6.516666          . |
844. |     ZAF   1985          .     4.8625          . |
845. |     ZAF   1990          .   7.733333          . |
846. |     ZAF   1995          .   11.14286          . |
     |-------------------------------------------------|
847. |     ZAF   2000          .       5.15          . |
849. |     ZMB   1975          .          .      46.08 |
850. |     ZMB   1980          .          .   43.53077 |
851. |     ZMB   1985          .          .   39.19231 |
852. |     ZMB   1990          .          .   30.98055 |
     |-------------------------------------------------|
853. |     ZMB   1995          .          .    22.1973 |
854. |     ZMB   2000          .          .   14.05128 |
856. |     ZWE   1975          .          .          . |
857. |     ZWE   1980   25.34444          .          . |
858. |     ZWE   1985    18.3375          .          . |
     |-------------------------------------------------|
859. |     ZWE   1990   18.11818          .          . |
860. |     ZWE   1995   20.36364          .          . |
861. |     ZWE   2000   21.39375          .          . |
     +-------------------------------------------------+

. 
. sort ifscode year

. list efwname isocode ifscode developing if tariffendlow==1 & lib==0 & year==2000

     +-----------------------------------------------+
     |        efwname   isocode   ifscode   develo~g |
     |-----------------------------------------------|
  7. |  United States       USA       111          0 |
 14. | United Kingdom       GBR       112          0 |
 28. |        Belgium       BEL       124          0 |
 35. |        Denmark       DNK       128          0 |
 42. |         France       FRA       132          0 |
     |-----------------------------------------------|
 49. |        Germany       DEU       134          0 |
 56. |          Italy       ITA       136          0 |
 63. |     Luxembourg       LUX       137          0 |
 70. |    Netherlands       NLD       138          0 |
 77. |         Norway       NOR       142          0 |
     |-----------------------------------------------|
 84. |         Sweden       SWE       144          0 |
 91. |    Switzerland       CHE       146          0 |
 98. |         Canada       CAN       156          0 |
105. |          Japan       JPN       158          0 |
112. |        Finland       FIN       172          0 |
     |-----------------------------------------------|
119. |         Greece       GRC       174          0 |
126. |        Iceland       ISL       176          0 |
133. |        Ireland       IRL       178          0 |
154. |          Spain       ESP       184          0 |
182. |   South Africa       ZAF       199          1 |
     |-----------------------------------------------|
406. |           Oman       OMN       449          1 |
420. | Unit. Arab Em.       ARE       466          1 |
462. |      Hong Kong       HKG       532          1 |
490. |       Malaysia       MYS       548          1 |
518. |      Singapore       SGP       576          1 |
     |-----------------------------------------------|
539. |       Botswana       BWA       616          1 |
707. |        Namibia       NAM       728          1 |
     +-----------------------------------------------+

. list efwname isocode ifscode developing if tariffendlow==0 & lib==0 & year==2000

     +------------------------------------------------+
     |         efwname   isocode   ifscode   develo~g |
     |------------------------------------------------|
259. |           Haiti       HTI       263          1 |
322. |         Bahamas       BHS       313          1 |
329. |        Barbados       BRB       316          1 |
336. |          Guyana       GUY       336          1 |
350. |         Jamaica       JAM       343          1 |
     |------------------------------------------------|
357. | Trinidad & Tob.       TTO       369          1 |
371. |          Cyprus       CYP       423          1 |
392. |          Jordan       JOR       439          1 |
532. |         Algeria       DZA       612          1 |
637. |          Malawi       MWI       676          1 |
     |------------------------------------------------|
651. |       Mauritius       MUS       684          1 |
658. |         Morocco       MAR       686          1 |
679. |        Zimbabwe       ZWE       698          1 |
728. |         Tunisia       TUN       744          1 |
756. | Pap. New Guinea       PNG       853          1 |
     |------------------------------------------------|
854. |          Poland       POL       964          1 |
     +------------------------------------------------+

. list efwname isocode ifscode developing if lib==1 & year==2000

     +--------------------------------------------------+
     |           efwname   isocode   ifscode   develo~g |
     |--------------------------------------------------|
 21. |           Austria       AUT       122          0 |
161. |            Turkey       TUR       186          1 |
168. |         Australia       AUS       193          0 |
175. |       New Zealand       NZL       196          0 |
189. |         Argentina       ARG       213          1 |
     |--------------------------------------------------|
196. |           Bolivia       BOL       218          1 |
203. |            Brazil       BRA       223          1 |
210. |             Chile       CHL       228          1 |
217. |          Colombia       COL       233          1 |
224. |        Costa Rica       CRI       238          1 |
     |--------------------------------------------------|
238. |           Ecuador       ECU       248          1 |
252. |         Guatemala       GTM       258          1 |
273. |            Mexico       MEX       273          1 |
280. |         Nicaragua       NIC       278          1 |
294. |          Paraguay       PRY       288          1 |
     |--------------------------------------------------|
301. |              Peru       PER       293          1 |
308. |           Uruguay       URY       298          1 |
315. |         Venezuela       VEN       299          1 |
378. |              Iran       IRN       429          1 |
427. |             Egypt       EGY       469          1 |
     |--------------------------------------------------|
434. |        Bangladesh       BGD       513          1 |
448. |         Sri Lanka       LKA       524          1 |
469. |             India       IND       534          1 |
476. |         Indonesia       IDN       536          1 |
483. |       South Korea       KOR       542          1 |
     |--------------------------------------------------|
497. |             Nepal       NPL       558          1 |
504. |          Pakistan       PAK       564          1 |
511. |       Philippines       PHL       566          1 |
525. |          Thailand       THA       578          1 |
560. | Central Afr. Rep.       CAF       626          1 |
     |--------------------------------------------------|
574. |    Congo, Rep. Of       COG       634          1 |
588. |             Benin       BEN       638          1 |
595. |             Gabon       GAB       646          1 |
602. |             Ghana       GHA       652          1 |
616. |     Cote d'Ivoire       CIV       662          1 |
     |--------------------------------------------------|
623. |             Kenya       KEN       664          1 |
644. |              Mali       MLI       678          1 |
693. |           Senegal       SEN       722          1 |
714. |          Tanzania       TZA       738          1 |
735. |            Uganda       UGA       746          1 |
     |--------------------------------------------------|
742. |            Zambia       ZMB       754          1 |
784. |             China       CHN       924          1 |
     +--------------------------------------------------+

. 
. 
. 
. *** TABLE 8
. 
. clear

. 
. use CapImport

. sum

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
       nomen |         0
    reporter |         0
 productcode |         0
reportername |         0
 partneriso3 |         0
-------------+--------------------------------------------------------
 partnername |         0
tradeflown~e |         0
tradeflowc~e |       185           6           0          6          6
       y1970 |       178     2496363     5417678       .299   4.09e+07
       y1971 |       179     2770543     5948415       .036   4.19e+07
-------------+--------------------------------------------------------
       y1972 |       175     3338826     7008293       .034   4.72e+07
       y1973 |       169     4787790     9967584       .389   6.79e+07
       y1974 |       175     6282181    1.34e+07       .057   9.33e+07
       y1975 |       174     6655351    1.42e+07      7.444   1.03e+08
       y1976 |       174     7468896    1.56e+07      2.765   1.09e+08
-------------+--------------------------------------------------------
       y1977 |       175     8441617    1.74e+07       .671   1.18e+08
       y1978 |       173     9980713    2.03e+07      5.784   1.42e+08
       y1979 |       175    1.22e+07    2.46e+07      1.814   1.71e+08
       y1980 |       175    1.47e+07    2.99e+07      6.054   2.05e+08
       y1981 |       168    1.49e+07    2.91e+07     17.631   1.93e+08
-------------+--------------------------------------------------------
       y1982 |       173    1.39e+07    2.73e+07   2337.876   1.80e+08
       y1983 |       174    1.38e+07    2.66e+07          2   1.70e+08
       y1984 |       173    1.50e+07    2.87e+07          1   1.87e+08
       y1985 |       177    1.49e+07    2.88e+07          6   1.81e+08
       y1986 |       178    1.67e+07    3.35e+07        109   2.40e+08
-------------+--------------------------------------------------------
       y1987 |       179    2.00e+07    3.92e+07     17.685   2.91e+08
       y1988 |       174    2.36e+07    4.56e+07     63.792   3.19e+08
       y1989 |       185    2.54e+07    4.98e+07          5   3.43e+08
       y1990 |       185    2.88e+07    5.58e+07          5   3.94e+08
       y1991 |       185    2.99e+07    5.81e+07       .599   3.97e+08
-------------+--------------------------------------------------------
       y1992 |       185    3.22e+07    6.18e+07    104.447   4.24e+08
       y1993 |       185    3.19e+07    6.00e+07     20.435   4.28e+08
       y1994 |       180    3.72e+07    6.79e+07       39.3   4.73e+08
       y1995 |       185    4.32e+07    7.89e+07   1993.419   5.38e+08
       y1996 |       185    4.48e+07    8.04e+07   1753.576   5.72e+08
-------------+--------------------------------------------------------
       y1997 |       185    4.65e+07    8.38e+07      656.5   6.34e+08
       y1998 |       185    4.59e+07    8.35e+07    105.635   6.26e+08
       y1999 |       185    4.75e+07    8.53e+07     22.732   6.33e+08
       y2000 |       185    5.29e+07    9.31e+07   3426.952   7.04e+08
       y2001 |       185    5.06e+07    8.88e+07    685.011   6.58e+08
-------------+--------------------------------------------------------
       y2002 |       185    5.29e+07    9.09e+07   2852.872   6.24e+08
       y2003 |       185    6.11e+07    1.04e+08    915.214   7.37e+08
       y2004 |       185    7.29e+07    1.25e+08    204.847   8.96e+08
       y2005 |       185    8.12e+07    1.38e+08     68.706   9.56e+08
       y2006 |       185    9.37e+07    1.60e+08     53.146   1.10e+09
-------------+--------------------------------------------------------
       y2007 |       180    1.11e+08    1.90e+08    579.084   1.32e+09
       y2008 |       185    1.22e+08    2.10e+08   2035.582   1.46e+09
       y2009 |       185    9.63e+07    1.67e+08   2523.827   1.19e+09

. rename reporter isocode

. keep iso product y*

. sort isocode

. merge isocode using treatments2
(note: you are using old merge syntax; see [D] merge for new syntax)
variable isocode does not uniquely identify observations in the master data

. drop if _merge==2
(187 observations deleted)

. 
. reshape long y, i(isocode product) j(year) 
(note: j = 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 19
> 86 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 200
> 4 2005 2006 2007 2008 2009)

Data                               wide   ->   long
-----------------------------------------------------------------------------
Number of obs.                      185   ->    7400
Number of variables                  45   ->       7
j variable (40 values)                    ->   year
xij variables:
                  y1970 y1971 ... y2009   ->   y
-----------------------------------------------------------------------------

. rename y imports

. rename isocode iso

. sort iso year

. gen post=0 if year<1990
(3700 missing values generated)

. replace post=1 if year >=1990
(3700 real changes made)

. drop if year>=2005
(925 observations deleted)

. drop if year<1975
(925 observations deleted)

. 
. egen isonum = group(iso)

. egen prodnum = group(product)

. gen panelnum = isonum*1000 + prodnum

. sort panelnum year

. xtset panelnum year
       panel variable:  panelnum (strongly balanced)
        time variable:  year, 1975 to 2004
                delta:  1 unit

. 
. *preserve
. 
. gen limp = log(imports)
(153 missing values generated)

. gen dlimp = d.limp
(361 missing values generated)

. gen lib=.
(5550 missing values generated)

. replace lib=1 if liberalizer~=.
(3150 real changes made)

. replace lib=0 if nonliberalizer~=.
(2400 real changes made)

. 
. replace year=year-1990
(5550 real changes made)

. 
. gen postyear=post*year

. 
. gen postlib = post*lib

. gen yearlib = year*lib

. gen postyearlib =  post*year*lib

. 
. label var post "Post-1990"

. label var year "Year"

. label var postyear "Post-1990 * Year"

. label var postlib "Liberalizer * Post-1990"

. label var yearlib "Liberalizer * Year"

. label var postyearlib "Liberalizer * Post-1990 * Year"

. 
. 
. 
. eststo clear

. eststo: areg limp post year postyear postlib yearlib postyearlib ///
>         if product=="CapNew", cluster(iso) robust a(iso)

Linear regression, absorbing indicators           Number of obs   =       1073
                                                  F(   6,     36) =      25.92
                                                  Prob > F        =     0.0000
                                                  R-squared       =     0.9371
                                                  Adj R-squared   =     0.9345
                                                  Root MSE        =     0.8423

                                   (Std. Err. adjusted for 37 clusters in iso)
------------------------------------------------------------------------------
             |               Robust
        limp |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        post |   .2905087   .1293463     2.25   0.031     .0281822    .5528352
        year |    .124017   .0191478     6.48   0.000     .0851834    .1628507
    postyear |  -.0547129   .0181897    -3.01   0.005    -.0916033   -.0178225
     postlib |   .1178437   .1905077     0.62   0.540    -.2685239    .5042113
     yearlib |  -.0242045   .0343798    -0.70   0.486    -.0939299    .0455209
 postyearlib |   .1031694   .0466841     2.21   0.034     .0084896    .1978492
       _cons |   14.15525   .1281922   110.42   0.000     13.89527    14.41524
-------------+----------------------------------------------------------------
         iso |   absorbed                                      (37 categories)
(est1 stored)

. eststo: areg limp post year postyear postlib yearlib postyearlib ///
>         if product=="IntNew", cluster(iso) robust a(iso)

Linear regression, absorbing indicators           Number of obs   =       1083
                                                  F(   6,     36) =     104.26
                                                  Prob > F        =     0.0000
                                                  R-squared       =     0.9684
                                                  Adj R-squared   =     0.9671
                                                  Root MSE        =     0.2861

                                   (Std. Err. adjusted for 37 clusters in iso)
------------------------------------------------------------------------------
             |               Robust
        limp |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        post |   .0318937   .0375308     0.85   0.401    -.0442224    .1080097
        year |   .0840316   .0063832    13.16   0.000      .071086    .0969773
    postyear |  -.0464788   .0105868    -4.39   0.000    -.0679499   -.0250077
     postlib |  -.0185683   .0576463    -0.32   0.749    -.1354805    .0983438
     yearlib |  -.0181853   .0134215    -1.35   0.184    -.0454054    .0090347
 postyearlib |   .0383813   .0165813     2.31   0.026     .0047529    .0720097
       _cons |   16.34589   .0385822   423.66   0.000     16.26765    16.42414
-------------+----------------------------------------------------------------
         iso |   absorbed                                      (37 categories)
(est2 stored)

. esttab using Table8.csv, ///
>         label page replace nocons r2 se star(* 0.10 ** 0.05 *** 0.01) ///
>         title("Difference-in-difference estimates for import growth rates") ///
>         mtitles("All capital goods" "All intermediate goods") ///
>         addnote("Fixed country effects not shown. Robust standard errors clustered by count
> ry.")
(output written to Table8.csv)

. eststo clear

. 
. 
. set more on

. 
. log close
      name:  <unnamed>
       log:  /Users/amtaylor/Documents/amt/Current/Toni2004/REStatReplicationFiles/WashConRep
> licate.log
  log type:  text
 closed on:  10 Jan 2014, 15:59:20
---------------------------------------------------------------------------------------------
